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Govindarajan, S and Sarkar, S (2024) Improved Algorithms for Minimum-Membership Geometric Set Cover. In: UNSPECIFIED, pp. 103-116.

Gorantla, S and Gowda, KN and Deshpande, A and Louis, A (2023) Socially Fair Center-Based and Linear Subspace Clustering. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2023, 18-22 September 2023, Turin, pp. 727-742.

Chandra, G and Jain, C (2023) Sequence to Graph Alignment Using Gap-Sensitive Co-linear Chaining. In: 27th International Conference on Research in Computational Molecular Biology, RECOMB 2023, 16 - 19 April 2023, Istanbul, pp. 58-73.

Gokhale, P and Keil, JM and Mondal, D (2023) Improved and Generalized Algorithms for Burning a Planar Point Set. In: 17th International Conference and Workshops on Algorithms and Computation, WALCOM 2023, 22-24 March 2023, Hsinchu, pp. 90-101.

Mondal, B and Biswas, S (2023) SEIC: Semantic Embedding with Intermediate Classes for Zero-Shot Domain Generalization. In: 16th Asian Conference on Computer Vision, ACCV 2022, 4-8 December 2022, Macao, pp. 333-350.

Bajpai, R and Hazarika, D and Singh, K and Gorantla, S and Cambria, E and Zimmermann, R (2023) Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining. In: 19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018, 18-24 March 2018, Hanoi, pp. 142-160.

Sreenivas, M and Takamuku, S and Biswas, S and Chepuri, A and Vengatesan, B and Natori, N (2023) Improved Cross-Dataset Facial Expression Recognition by Handling Data Imbalance and Feature Confusion. In: 17th European Conference on Computer Vision, ECCV 2022, 23-27 October 2022, Tel Aviv, pp. 262-277.

Caragiannis, I and Narang, S (2023) Repeatedly Matching Items to Agents Fairly and Efficiently. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 981 .

Balachandran, N and Hebbar, A (2023) Cyclability, Connectivity and Circumference. In: 9th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2023, 9-11 February 2023, Gandhinagar, pp. 257-268.

Campanelli, M and Ganesh, C and Khoshakhlagh, H and Siim, J (2023) Impossibilities in Succinct Arguments: Black-Box Extraction and More. In: 14th International Conference on Cryptology in Africa, AFRICACRYPT 2023, 19-21 July 2023, Sousse, pp. 465-489.

Abraham, I and Asharov, G and Patil, S and Patra, A (2022) Asymptotically Free Broadcast in Constant Expected Time via Packed VSS. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7 - 10 November 2022, Chicago, pp. 384-414.

Ishai, Y and Patra, A and Patranabis, S and Ravi, D and Srinivasan, A (2022) Fully-Secure MPC with Minimal Trust. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7 - 10 November 2022, Chicago, pp. 470-501.

Barman, S and Krishna, A and Narahari, Y and Sadhukhan, S (2022) Nash Welfare Guarantees for Fair and Efficient Coverage. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2 - 15 December 2022, Troy, pp. 256-272.

Alon, B and Nissenbaum, O and Omri, E and Paskin-Cherniavsky, A and Patra, A (2022) On Perfectly Secure Two-Party Computation for Symmetric Functionalities with Correlated Randomness. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7 - 10 November 2022, Chicago, pp. 532-561.

Sreedurga, G (2022) Participatory Budgeting: Fairness and Welfare Maximization. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14 - 16 September 2022, Düsseldorf, pp. 439-443.

Applebaum, B and Kachlon, E and Patra, A (2022) Round-Optimal Honest-Majority MPC in Minicrypt and with Everlasting Security: (Extended Abstract). In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7 - 10 November 2022, Chicago, pp. 103-120.

Kundu, JN and Bhambri, S and Kulkarni, A and Sarkar, H and Jampani, V and Babu, RV (2022) Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 27 October 2022, Tel Aviv, pp. 177-194.

Chowdhury, T and Chanda, S and Bhattacharya, S and Biswas, S and Pal, U (2022) Contact-Less Heart Rate Detection in Low Light Videos. In: 6th Asian Conference on Pattern Recognition, ACPR 2021, 9-12 November 2021, Virtual, Online, South Korea, pp. 77-91.

Manam, L and Govindu, VM (2022) Correspondence Reweighted Translation Averaging. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 56-72.

Kanthuru, VA and Rajasegarar, S and Rathore, P and Doss, RRM and Pan, L and Ray, B and Chowdhury, M and Srimathi, C and Durai, MAS (2022) Cyber Attack Detection in IoT Networks with Small Samples: Implementation And Analysis. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 28 - 30 November 2022, Brisbane, pp. 118-130.

Milardo, S and Rathore, P and Santi, P and Ratti, C (2022) A Data-Driven Framework for Driving Style Classification. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 28 - 30 November 2022, Brisbane, pp. 253-265.

Joseph, KJ and Paul, S and Aggarwal, G and Biswas, S and Rai, P and Han, K and Balasubramanian, VN (2022) Novel Class Discovery Without Forgetting. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 570-586.

Addepalli, S and Jain, S and Sriramanan, G and Venkatesh Babu, R (2022) Scaling Adversarial Training to Large Perturbation Bounds. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 27 October 2022, Tel Aviv, pp. 301-316.

Babu Sam, D and Agarwalla, A and Joseph, J and Sindagi, VA and Babu, RV and Patel, VM (2022) Completely Self-supervised Crowd Counting via Distribution Matching. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 186-204.

Karmali, T and Parihar, R and Agrawal, S and Rangwani, H and Jampani, V and Singh, M and Babu, RV (2022) Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 443-459.

Rangwani, H and Jaswani, N and Karmali, T and Jampani, V and Babu, RV (2022) Improving GANs for Long-Tailed Data Through Group Spectral Regularization. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 426-442.

Kalla, J and Biswas, S (2022) S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 432-448.

Chandran, N and Kanukurthi, B and Obbattu, SLB and Sekar, S (2022) Short Leakage Resilient and Non-malleable Secret Sharing Schemes. In: 42nd Annual International Cryptology Conference, CRYPTO 2022, 15 - 18 August 2022, Santa Barbara, pp. 178-207.

Addepalli, S and Bhogale, K and Dey, P and Babu, RV (2022) Towards Efficient and Effective Self-supervised Learning of Visual Representations. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 523-538.

Ganesh, C and Khoshakhlagh, H and Parisella, R (2022) NIWI and New Notions of Extraction for Algebraic Languages. In: 13th International Conference on Security and Cryptography for Networks, SCN 2022, 12 - 14 September 2022, Amalfi, pp. 687-710.

Ganesh, C and Khoshakhlagh, H and Kohlweiss, M and Nitulescu, A and ZajÄ c, M (2022) What Makes Fiat–Shamir zkSNARKs (Updatable SRS) Simulation Extractable? In: 13th International Conference on Security and Cryptography for Networks, SCN 2022, 12 - 14 September 2022, Amalfi, pp. 735-760.

Applebaum, B and Ishai, Y and Karni, O and Patra, A (2022) Quadratic Multiparty Randomized Encodings Beyond Honest Majority and Their Applications. In: 42nd Annual International Cryptology Conference, CRYPTO 2022, 15 August 2022 - 18 August 2022, Barbara, pp. 453-482.

Applebaum, B and Kachlon, E and Patra, A (2022) Verifiable Relation Sharing and Multi-verifier Zero-Knowledge in Two Rounds: Trading NIZKs with Honest Majority: (Extended Abstract). In: 42nd Annual International Cryptology Conference, CRYPTO 2022, 15 - 18 August 2022, Santa Barbara, pp. 33-56.

Tiwari, M and Vadhiyar, S (2022) Communication Overlapping Pipelined Conjugate Gradients for Distributed Memory Systems and Heterogeneous Architectures. In: 27th International Conference on Parallel and Distributed Computing, Euro-Par 2021, 30 - 31 August 2021, Virtual, Online, pp. 535-539.

Ganesh, C and Orlandi, C and Pancholi, M and Takahashi, A and Tschudi, D (2022) Fiat–Shamir Bulletproofs are Non-Malleable (in the Algebraic Group Model). In: 41st Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2022, 30 May - 3 June 2022, Trondheim, pp. 397-426.

Jain, C and Gibney, D and Thankachan, SV (2022) Co-linear Chaining with Overlaps and Gap Costs. In: 26th International Conference on Research in Computational Molecular Biology, RECOMB 2022, 22 - 25 May 2022, San Diego, pp. 246-262.

Suresh, VP and Pai, R and DSouza, D and DSouza, M and Chakrabarti, SK (2022) Static Race Detection for Periodic Programs. In: European Joint Conferences on Theory and Practice of Software, ETAPS 2022, 5-7 April 2022, Munich, pp. 290-316.

Aranha, DF and Bennedsen, EM and Campanelli, M and Ganesh, C and Orlandi, C and Takahashi, A (2022) ECLIPSE: Enhanced Compiling Method for Pedersen-Committed zkSNARK Engines. In: 25th IACR International Conference on Practice and Theory of Public-Key Cryptography, PKC 2022, 8 March 2022 through 11 March 2022, Virtual, Online, pp. 584-614.

Sharma, VK and Murthy, LRD and Biswas, P (2022) Enabling Learning Through Play: Inclusive Gaze-Controlled Human-Robot Interface for Joystick-Based Toys. In: 14th International Conference on Social Robotics, ICSR 2022, 13 - 16 December 2022, Florence, pp. 452-461.

Barman, S and Verma, P (2022) Approximating Nash Social Welfare Under Binary XOS and Binary Subadditive Valuations. In: 17th International Conference on Web and Internet Economics, WINE 2021, 14 - 17 December 2021, Virtual, Online, pp. 373-390.

Hegde, A and Koti, N and Kukkala, VB and Patil, S and Patra, A and Paul, P (2022) Attaining GOD Beyond Honest Majority with Friends and Foes. In: 8th International Conference on the Theory and Application of Cryptology and Information Security, ASIACRYPT 2022, 5 - 9 December 2022, Taipei, pp. 556-587.

Shanmugasundaram, P and Bhatnagar, S (2022) Co-operative Multi-agent Twin Delayed DDPG for Robust Phase Duration Optimization of Large Road Networks. In: 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, 3 - 5 February 2022, Virtual, Online, pp. 122-142.

Patel, R and Enaganti, I and Bhardwaj, MR and Narahari, Y (2022) A Data-Driven, Farmer-Oriented Agricultural Crop Recommendation Engine (ACRE). In: 10th International Conference on Big Data Analytics, BDA 2022, 19 - 22 December 2022, Hyderabad, 227 – 248.

Chatterjee, S and Pandit, T (2022) Efficient IBS from a New Assumption in the Multivariate-Quadratic Setting. In: 23rd International Conference on Cryptology, INDOCRYPT 2022, 11- 14 December 2022, Kolkata, pp. 679-696.

Chatterjee, S and Das, MPL and Pandit, T (2022) Revisiting the Security of Salted UOV Signature. In: 23rd International Conference on Cryptology, INDOCRYPT 2022, 11 December - 14 December 2022, Kolkata, pp. 697-719.

Tiwari, M and Vadhiyar, S (2022) Strategies for Efficient Execution of Pipelined Conjugate Gradient Method on GPU Systems. In: 37th International Conference on High Performance Computing , ISC High Performance 2022, 29 May - 2 June 2022, Hamburg, pp. 77-89.

Ganesh, C and Orlandi, C and Tschudi, D and Zohar, A (2022) Virtual ASICs: Generalized Proof-of-Stake Mining in Cryptocurrencies. In: 16th International Workshop on Data Privacy Management, DPM 2021, and 5th International Workshop on Cryptocurrencies and Blockchain Technology, CBT 2021 held in conjunction with ESORICS 2021, 8 October 2021, Virtual, Online, pp. 173-191.

Anoop, CS and Ramakrishnan, AG (2021) Investigation of Different G2P Schemes for Speech Recognition in Sanskrit. In: 28th International Conference on Neural Information Processing, ICONIP 2021, 8 - 12 Dec 2021, Virtual, Online, pp. 536-547.

Khanna, Y and Louis, A and Paul, R (2021) Independent Sets in Semi-random Hypergraphs. In: Lecture Notes in Computer Science, 9 August - 11 August 2021, Virtual, Online, pp. 528-542.

Damgård, I and Ganesh, C and Khoshakhlagh, H and Orlandi, C and Siniscalchi, L (2021) Balancing Privacy and Accountability in Blockchain Identity Management. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 17 - 20 May 2021, Virtual, Online, pp. 552-576.

Athaiya, S and Komondoor, R and Kumar, KN (2021) Data Flow Analysis of Asynchronous Systems using Infinite Abstract Domains. In: 30th European Symposium on Programming, ESOP 2021, 27 March - 1 April 2021, Luxembourg, pp. 30-58.

Chakraborty, D and Chandran, LS and Padinhatteeri, S and Pillai, RR (2021) Algorithms and Complexity of s-Club Cluster Vertex Deletion. In: 32nd International Workshop on Combinatorial Algorithms, IWOCA 2021, 5-7 Jul 2021, pp. 152-164.

Bandyopadhyay, S and Aggarwal, M and Murty, MN (2021) A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention. In: 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 11-14 May 2021, pp. 554-565.

Vijaikumar, M and Shevade, S and Murty, MN (2021) GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization. In: European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, 14-18 Sep 2020, pp. 297-313.

Yadati, N and Gao, T and Asoodeh, S and Talukdar, P and Louis, A (2021) Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. In: 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 11-14 May 2021, pp. 447-458.

Chatterjee, S and Dimri, A and Pandit, T (2021) Identity-Based Signature and Extended Forking Algorithm in the Multivariate Quadratic Setting. In: 22nd International Conference on Cryptology in India, INDOCRYPT 2021, 12 - 15 Dec 2021, Jaipur, pp. 387-412.

Patel, D and Sastry, PS (2021) Memorization in Deep Neural Networks: Does the Loss Function Matter? In: 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 11-14 May 2021, pp. 131-142.

Awasthi, N and Pardasani, R and Gupta, S (2021) Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans. In: 6th International MICCAI Brainlesion Workshop, BrainLes 2020, 4 Oct 2020, pp. 168-178.

Vijaikumar, M and Shevade, S and Murty, MN (2021) Neural Cross-Domain Collaborative Filtering with Shared Entities. In: European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, 14-18 Sep 2020, pp. 729-745.

Chandran, LS and Das, SK and Hell, P and Padinhatteeri, S and Pillai, RR (2021) Template-Driven Rainbow Coloring of Proper Interval Graphs. In: 7th International Conference on Algorithms and Discrete Applied Mathematics, 11-13 Feb 2021, Rupnagar, pp. 452-470.

Sanghi, A and Santhanam, R and Haritsa, JR (2021) Towards Generating HiFi Databases. In: 26th International Conference on Database Systems for Advanced Applications, DASFAA 2021, 11-14 Apr 2021, Taipei, pp. 105-112.

Patra, A and Ravi, D and Singla, S (2020) On the Exact Round Complexity of Best-of-Both-Worlds Multi-party Computation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7 December 2020 through 11 December 2020, Daejeon; South Korea, pp. 60-91.

Barman, S and Bhaskar, U and Shah, N (2020) Optimal Bounds on the Price of Fairness for Indivisible Goods. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7-11 December 2020, Beijing; China, pp. 356-369.

Chatterjee, S and Kabaleeshwaran, R (2020) From Rerandomizability to Sequential Aggregation: Efficient Signature Schemes Based on SXDH Assumption. In: 25th Australasian Conference on Information Security and Privacy, ACISP 2020, 30th Nov.-2nd Dec.,2020, Perth; Australia, pp. 183-203.

Kundu, JN and Rakesh, M and Jampani, V and Venkatesh, RM and Venkatesh Babu, R (2020) Appearance Consensus Driven Self-supervised Human Mesh Recovery. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 794-812.

Kundu, JN and Venkatesh, RM and Venkat, N and Revanur, A and Babu, RV (2020) Class-Incremental Domain Adaptation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 53-69.

Sindagi, VA and Yasarla, R and Babu, DS and Babu, RV and Patel, VM (2020) Learning to Count in the Crowd from Limited Labeled Data. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 212-229.

Chowdhury, R and Subramani, DN (2020) Physics-Driven Machine Learning for Time-Optimal Path Planning in Stochastic Dynamic Flows. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2- 4 October 2020, Boston, pp. 293-301.

Prabhakar, KR and Agrawal, S and Singh, DK and Ashwath, B and Babu, RV (2020) Towards Practical and Efficient High-Resolution HDR Deghosting with CNN. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 497-513.

Dutta, T and Singh, A and Biswas, S (2020) Adaptive Margin Diversity Regularizer for Handling Data Imbalance in Zero-Shot SBIR. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 349-364.

Tripathi, A and Dani, RR and Mishra, A and Chakraborty, A (2020) Sketch-Guided Object Localization in Natural Images. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 532-547.

Kundu, JN and Revanur, A and Waghmare, GV and Venkatesh, RM and Babu, RV (2020) Unsupervised Cross-Modal Alignment for Multi-person 3D Pose Estimation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23-28 August 2020, Glasgow, pp. 35-52.

Ezudheen, P and Afzal, ZR and Prabhakar, P and D'Souza, D and D'Souza, M (2020) Verifying Band Convergence for Sampled Control Systems. In: 12th International Symposium on NASA Formal Methods, NFM 2020, 11-15, May 2020, Moffett Field; United States, pp. 329-349.

Malakar, P and Natarajan, V and Vadhiyar, SS (2020) Adaptive and efficient transfer for online remote visualization of critical weather applications. In: 20th International Conference on Computational Science, 3-5, June 2020, Netherlands, pp. 674-693.

Vijaikumar, M and Shevade, S and Narasimha Murty, M (2020) GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation. In: 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 11-14 May 2020, Singapore, pp. 28-40.

Chandran, LS and Padinhatteeri, S and Ravi Shankar, K (2020) List Distinguishing Number of pth Power of Hypercube and Cartesian Powers of a Graph. In: 6th International Conference on Algorithms and Discrete Applied Mathematics, 13-15 FEB 2020, Hyderabad, pp. 235-247.

Patil, P and Sharma, G and Murty, MN (2020) Negative Sampling for Hyperlink Prediction in Networks. In: 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, 11-14 May 2020, Singapore; Singapore, pp. 607-619.

Vijaikumar, M and Shevade, S and Murty, MN (2020) SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2019, 16-20 September 2019, Wurzburg; Germany, pp. 430-446.

Barman, S and Fawzi, O and Ghoshal, S and Gürpınar, E (2020) Tight Approximation Bounds for Maximum Multi-coverage. In: 21st International Conference on Integer Programming and Combinatorial Optimization, IPCO 2020, 8-10 Jun 2020, London, pp. 66-77.

Garg, D and Shirolkar, P and Shukla, A and Simmhan, Y (2020) TorqueDB: Distributed querying of time-series data from edge-local storage. In: 26th International European Conference on Parallel and Distributed Computing, Euro-Par 2020, 24-28 August 2020, Warsaw; Poland, pp. 281-295.

Haque, I and DâSouza, D and Habeeb, P and Kundu, A and Babu, G (2020) Verification of a Generative Separation Kernel. In: 18th International Symposium on Automated Technology for Verification and Analysis, ATVA 2020, 19-23 October 2020, Hanoi; Viet Nam, pp. 305-322.

Applebaum, B and Kachlon, E and Patra, A (2020) The resiliency of MPC with low interaction: The benefit of making errors (extended abstract). In: 18th International Conference on Theory of Cryptography, TCCC 2020, 16 November 2020 through 19 November 2020, Durham; United States, pp. 562-594.

Kulkarni, V and Emelyanov, P and Ponomaryov, D and Krishna, M and Raha, S and Nandy, SK (2019) Parallel Factorization of Boolean Polynomials. In: 12th International Andrei P. Ershov Informatics Conference, PSI 2019; Novosibirsk; Russian Federation, 2-5 July 2019, Novosibirsk; Russian Federation, pp. 80-94.

Mishra, A and Singh, AK (2019) Deep Embedding Using Bayesian Risk Minimization with Application to Sketch Recognition. In: 14th Asian Conference on Computer Vision, ACCV 2018, 2 December 2018 - 6 December 2018, Perth, pp. 357-370.

Simmhan, Yogesh and Choudhury, Neel (2019) Distributed Graph Analytics. In: 16th International Conference on Distributed Computing and Internet Technology, ICDCIT 2020, 9 January 2020 - 12 January 2020, Hyderabad, pp. 3-20.

Arunachaleswaran, ER and Barman, S and Kumar, R and Rathi, N (2019) Fair and Efficient Cake Division with Connected Pieces. In: 15th Conference on Web and Internet Economics, WINE 2019, 10 - 12 December 2019, New York City, pp. 57-70.

Patra, A and Ravi, D (2019) Beyond honest majority: The round complexity of fair and robust multi-party Computation. In: 25th International Conference on the Theory and Applications of Cryptology and Information Security, ASIACRYPT 2019, 8 - 12 December 2019, Kobe, pp. 456-487.

Chattopadhyay, E and Kanukurthi, B and Obbattu, SLB and Sekar, S (2019) Privacy Amplification from Non-malleable Codes. In: 20th International Conference on Cryptology in India, INDOCRYPT 2019, 15- 18 December 2019, Hyderabad, pp. 318-337.

Chatterjee, S and Kabaleeshwaran, R (2019) Rerandomizable Signatures Under Standard Assumption. In: 20th International Conference on Cryptology in India, INDOCRYPT 2019, 15 - 18 December 2019, Hyderabad, pp. 45-67.

Vijaikumar, M and Shevade, S and Murty, MN (2019) TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering. In: 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, 17 - 20 December 2019, Tezpur, pp. 240-248.

Pandey, RK and Karmakar, S and Ramakrishnan, AG and Saha, N (2019) Improving facial emotion recognition systems with crucial feature extractors. In: 20th International Conference on Image Analysis and Processing, ICIAP 2019, 9 September 2019through 13 September 2019, Trento, pp. 268-279.

Pandey, RK and Singh, H and Ramakrishnan, AG (2019) Improvement of Image Denoising Algorithms by Preserving the Edges. In: 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, 3 - 5 September 2019, Salerno, pp. 496-506.

Prakash, P and Murti, C and Nath, S and Bhattacharyya, C (2019) Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices. In: 16th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2019, 26 - 30 August 2019, Yanuka Island, pp. 468-481.

Viswanath, S and Saha, M and Mitra, P and Nanjundiah, RS (2019) Deep Learning Based LSTM and SeqToSeq Models to Detect Monsoon Spells of India. In: 19th International Conference on Computational Science, ICCS 2019, 12 - 14 June 2019, Faro, pp. 204-218.

Pandey, RK and Ramakrishnan, AG (2019) Improving the Perceptual Quality of Document Images Using Deep Neural Network. In: 16th International Symposium on Neural Networks, ISNN 2019, 10 - 12 July 2019, Moscow, pp. 448-459.

Mandal, D and Annadani, Y and Biswas, S (2019) GrowBit: Incremental Hashing for Cross-Modal Retrieval. In: 14th Asian Conference on Computer Vision, ACCV 2018, 2 - 6 December 2018, Perth, pp. 305-321.

Arora, H and Komondoor, R and Ramalingam, G (2019) Checking observational purity of procedures. In: 22nd International Conference on Fundamental Approaches to Software Engineering, FASE 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, 6 April 2019 - 11 April 2019, Prague, pp. 228-243.

Chopra, N and Pai, R and D’Souza, D (2019) Data Races and Static Analysis for Interrupt-Driven Kernels. In: 28th European Symposium on Programming, ESOP 2019 Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, 6 - 11 April 2019, Prague, pp. 697-723.

Garg, S and Hajiabadi, M and Mahmoody, M and Rahimi, A and Sekar, S (2019) Registration-Based Encryption from Standard Assumptions. In: 22nd IACR International Conference on Practice and Theory of Public-Key Cryptography, PKC 2019, 14 - 17 April 2019, Beijing, pp. 63-93.

Babu, J and Chandran, LS and Francis, M and Prabhakaran, V and Rajendraprasad, D and Warrier, JN (2019) On graphs with minimal eternal vertex cover number. In: 5th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2019, 14 - 16 February 2019, Kharagpur, pp. 263-273.

Chatterjee, S and Mukherjee, S (2019) Large Universe Subset Predicate Encryption Based on Static Assumption (Without Random Oracle). In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11405 . pp. 62-82.

Chatterjee, S and Mukherjee, S (2018) Keyword search meets membership testing: Adaptive security from SXDH. In: 19th International Conference on Cryptology in India, INDOCRYPT 2018, 9 - 12 December 2018, New Delhi, pp. 21-43.

Parmar, M and Devi, VS (2018) Neural machine translation with recurrent highway networks. In: 6th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2018, 20 - 22 December 2018, Cluj-Napoca, pp. 299-308.

Ghosal, R and Chatterjee, S (2018) Privacy Preserving Multi-server k-means Computation over Horizontally Partitioned Data. In: 14th International Conference on Information Systems Security, ICISS 2018, 17 - 19 December 2018, Bangalore, pp. 189-208.

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