Mohapatra, Prasant

9 publications

ICML 2025 Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models Anshuman Chhabra, Bo Li, Jian Chen, Prasant Mohapatra, Hongfu Liu

ICLR 2024 "What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability Through Influence-Based Data Selection Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu

ICLR 2023 Robust Fair Clustering: A Novel Fairness Attack and Defense Framework Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu

TMLR 2023 Towards Fair Video Summarization Anshuman Chhabra, Kartik Patwari, Chandana Kuntala, Sristi, Deepak Kumar Sharma, Prasant Mohapatra

NeurIPS 2022 On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses Anshuman Chhabra, Ashwin Sekhari, Prasant Mohapatra

JMLR 2022 Stochastic Zeroth-Order Optimization Under Nonstationarity and Nonconvexity Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra

NeurIPS 2020 Escaping Saddle-Point Faster Under Interpolation-like Conditions Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra

AAAI 2020 Suspicion-Free Adversarial Attacks on Clustering Algorithms Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra

AAAI 2017 When to Reset Your Keys: Optimal Timing of Security Updates via Learning Zizhan Zheng, Ness B. Shroff, Prasant Mohapatra