| 2025 | ICASSP | Differentially Private Distribution Estimation Using Functional Approximation. | Ye Tao, Anand D. Sarwate |
| 2025 | ICLR | Learning to Help in Multi-Class Settings. | Yu Wu, Yansong Li, Zeyu Dong, Nitya Sathyavageeswaran, Anand D. Sarwate |
| 2025 | ISIT | Sliding Window Adversarial Channels. | Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Yihan Zhang |
| 2024 | CISS | Low Separation Rank in Tensor Generalized Linear Models: An Asymptotic Analysis. | Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa |
| 2024 | ICASSP | Federated Learning of Tensor Generalized Linear Models with low Separation Rank. | Jose Hoyos Sanchez, Batoul Taki, Waheed U. Bajwa, Anand D. Sarwate |
| 2024 | ICLR | Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models. | Andrew Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang |
| 2024 | ISIT | Computationally Efficient Codes for Strongly Dobrushin-Stambler Nonsymmetrizable Oblivious AVCs. | Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Y. Zhang |
| 2024 | ITW | Timely Offloading in Mobile Edge Cloud Systems. | Nitya Sathyavageeswaran, Roy D. Yates, Anand D. Sarwate, Narayan Mandayam Rutgers |
| 2023 | ISIT | Computationally Efficient Codes for Adversarial Binary-Erasure Channels. | Sijie Li, Prasad Krishnan, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate |
| 2022 | ICASSP | Low-Rank Phase Retrieval with Structured Tensor Models. | Soo Min Kwon, Xin Li, Anand D. Sarwate |
| 2022 | ISIT | Privacy Leakage in Discrete-Time Updating Systems. | Nitya Sathyavageeswaran, Roy D. Yates, Anand D. Sarwate, Narayan B. Mandayam |
| 2022 | ISIT | The Capacity of Causal Adversarial Channels. | Yihan Zhang, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate |
| 2022 | NSDI | Privid: Practical, Privacy-Preserving Video Analytics Queries. | Frank Cangialosi, Neil Agarwal, Venkat Arun, Junchen Jiang, Srinivas Narayana, Anand D. Sarwate, Ravi Netravali |
| 2021 | ACSSC | A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. | Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa |
| 2021 | SDM | Influencers and the Giant Component: The Fundamental Hardness in Privacy Protection for Socially Contagious Attributes. | Aria Rezaei, Jie Gao, Anand D. Sarwate |
| 2020 | ISIT | Symmetrizability for Myopic AVCs. | Amitalok J. Budkuley, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Carol Wang |
| 2019 | AISTATS | Learning Tree Structures from Noisy Data. | Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate |
| 2019 | ICASSP | Distributed Differentially-private Canonical Correlation Analysis. | Hafiz Imtiaz, Anand D. Sarwate |
| 2019 | ISIT | The Interplay of Causality and Myopia in Adversarial Channel Models. | Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Carol Wang |
| 2019 | ISIT | Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning. | Mohsen Ghassemi, Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate |
| 2018 | ICASSP | Global Optimality in Inductive Matrix Completion. | Mohsen Ghassemi, Anand D. Sarwate, Naveen Goela |
| 2018 | ICASSP | Improved Algorithms for Differentially Private Orthogonal Tensor Decomposition. | Hafiz Imtiaz, Anand D. Sarwate |
| 2018 | ICASSP | Differentially Private Distributed Principal Component Analysis. | Hafiz Imtiaz, Anand D. Sarwate |
| 2018 | ICASSP | Defending Against Packet-Size Side-Channel Attacks in Iot Networks. | Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam |
| 2018 | ISIT | Coordination Using Individually Shared Randomness. | Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate |
| 2018 | ISIT | Quadratically Constrained Channels with Causal Adversaries. | Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate |
| 2018 | ISIT | Quadratically Constrained Myopic Adversarial Channels. | Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, Anand D. Sarwate |
| 2017 | CCS | Differentially Private Noisy Search with Applications to Anomaly Detection (Abstract). | Daniel M. Bittner, Anand D. Sarwate, Rebecca N. Wright |
| 2017 | CLUSTER | A Unified Optimization Approach for Sparse Tensor Operations on GPUs. | Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi |
| 2017 | ICASSP | Sample complexity bounds for dictionary learning of tensor data. | Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate |
| 2017 | ICASSP | Decentralized independent vector analysis. | Nikolas P. Wojtalewicz, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis |
| 2016 | CCS | Differentially Private Online Active Learning with Applications to Anomaly Detection. | Mohsen Ghassemi, Anand D. Sarwate, Rebecca N. Wright |
| 2016 | CISS | Privacy-preserving source separation for distributed data using independent component analysis. | Hafiz Imtiaz, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun |
| 2016 | ICASSP | Symmetric matrix perturbation for differentially-private principal component analysis. | Hafiz Imtiaz, Anand D. Sarwate |
| 2016 | ICASSP | Data-weighted ensemble learning for privacy-preserving distributed learning. | Liyang Xie, Sergey M. Plis, Anand D. Sarwate |
| 2016 | ICASSP | Randomized requantization with local differential privacy. | Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam |
| 2016 | ISIT | A bit of delay is sufficient and stochastic encoding is necessary to overcome online adversarial erasures. | Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate |
| 2016 | ISIT | Optimal differential privacy mechanisms under Hamming distortion for structured source classes. | Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate |
| 2016 | ISIT | Minimax lower bounds for Kronecker-structured dictionary learning. | Zahra Shakeri, Waheed Uz Zaman Bajwa, Anand D. Sarwate |
| 2015 | ACSSC | Generalized opinion dynamics from local optimization rules. | Avhishek Chatterjee, Anand D. Sarwate, Sriram Vishwanath |
| 2015 | AISTATS | Learning from Data with Heterogeneous Noise using SGD. | Shuang Song, Kamalika Chaudhuri, Anand D. Sarwate |
| 2014 | ICML | On Measure Concentration of Random Maximum A-Posteriori Perturbations. | Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola |
| 2014 | ISIT | Social learning and distributed hypothesis testing. | Anusha Lalitha, Anand D. Sarwate, Tara Javidi |
| 2013 | ISIT | Assisted sampling of correlated sources. | Vinod M. Prabhakaran, Anand D. Sarwate |
| 2012 | CISS | Distributed learning from social sampling. | Anand D. Sarwate, Tara Javidi |
| 2012 | ISIT | Improved upper bounds on the capacity of binary channels with causal adversaries. | Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate |
| 2010 | ISIT | Coding against delayed adversaries. | Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate |
| 2010 | ITW | Coding against myopic adversaries. | Anand D. Sarwate |
| 2009 | INFOCOM | The Impact of Mobility on Gossip Algorithms. | Anand D. Sarwate, Alexandros G. Dimakis |
| 2009 | ISIT | Some observations on limited feedback for multiaccess channels. | Anand D. Sarwate, Michael Gastpar |
| 2008 | CISS | Adversarial interference models for multiantenna cooperative systems. | Anand D. Sarwate, Michael Gastpar |
| 2008 | ISIT | Arbitrarily dirty paper coding and applications. | Anand D. Sarwate, Michael Gastpar |
| 2007 | ISIT | Using zero-rate feedback on binary additive channels with individual noise sequences. | Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, Michael Gastpar |
| 2007 | ISIT | Channels with nosy "noise". | Anand D. Sarwate, Michael Gastpar |
| 2006 | ISIT | Randomization bounds on Gaussian arbitrarily varying channels. | Anand D. Sarwate, Michael Gastpar |