Chhabra, Anshuman

7 publications

NeurIPS 2025 LayerIF: Estimating Layer Quality for Large Language Models Using Influence Functions Hadi Askari, Shivanshu Gupta, Fei Wang, Anshuman Chhabra, Muhao Chen

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

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