| 2025 | ICLR | Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks. | Bhaskar Mukhoty, Hilal AlQuabeh, Bin Gu |
| 2024 | AAAI | Enhancing Training of Spiking Neural Network with Stochastic Latency. | Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic, Giulia De Masi, Huan Xiong, Bin Gu |
| 2024 | AAAI | Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery. | William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu |
| 2024 | ICLR | Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks. | Bhaskar Mukhoty, Hilal AlQuabeh, Giulia De Masi, Huan Xiong, Bin Gu |
| 2023 | AAAI | Corruption-Tolerant Algorithms for Generalized Linear Models. | Bhaskar Mukhoty, Debojyoti Dey, Purushottam Kar |
| 2023 | ACML | Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory. | Hilal AlQuabeh, Bhaskar Mukhoty, Bin Gu |
| 2022 | COMAD | AGGLIO: Global Optimization for Locally Convex Functions. | Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar |
| 2021 | CCS | CatchAll: A Robust Multivariate Intrusion Detection System for Cyber-Physical Systems using Low Rank Matrix. | Aneet Kumar Dutta, Bhaskar Mukhoty, Sandeep K. Shukla |
| 2019 | AISTATS | Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems. | Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, Purushottam Kar |
| 2018 | ACSAC | Model Extraction Warning in MLaaS Paradigm. | Manish Kesarwani, Bhaskar Mukhoty, Vijay Arya, Sameep Mehta |