Srinivasa, Jayanth

8 publications

ICML 2025 On the Vulnerability of Applying Retrieval-Augmented Generation Within Knowledge-Intensive Application Domains Xun Xian, Ganghua Wang, Xuan Bi, Rui Zhang, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding

ICML 2024 Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension Fan Yin, Jayanth Srinivasa, Kai-Wei Chang

ICLR 2024 Demystifying Poisoning Backdoor Attacks from a Statistical Perspective Ganghua Wang, Xun Xian, Ashish Kundu, Jayanth Srinivasa, Xuan Bi, Mingyi Hong, Jie Ding

NeurIPS 2024 RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding

NeurIPS 2023 A Unified Detection Framework for Inference-Stage Backdoor Defenses Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding

NeurIPS 2023 Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang "Atlas" Wang

CVPRW 2023 Many-Task Federated Learning: A New Problem Setting and a Simple Baseline Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang

ICML 2023 Understanding Backdoor Attacks Through the Adaptability Hypothesis Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding