Sanjay Kariyappa

32 papers A* 9Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks. CoRR Chong Xiang, Drew Zagieboylo, Shaona Ghosh, Sanjay Kariyappa, Kai Greshake, Hanshen Xiao, Chaowei Xiao, G. Edward Suh
2026	J	`jnl`	ReasoningBomb: A Stealthy Denial-of-Service Attack by Inducing Pathologically Long Reasoning in Large Reasoning Models. CoRR Xiaogeng Liu, Xinyan Wang, Yechao Zhang, Sanjay Kariyappa, Chong Xiang, Muhao Chen, G. Edward Suh, Chaowei Xiao
2026	J	`jnl`	SideQuest: Model-Driven KV Cache Management for Long-Horizon Agentic Reasoning. CoRR Sanjay Kariyappa, G. Edward Suh
2025	J	`jnl`	Interpretable LLM-based Table Question Answering. Trans. Mach. Learn. Res. Giang Nguyen, Ivan Brugere, Shubham Sharma, Sanjay Kariyappa, Anh Totti Nguyen, Freddy Lécué
2025	J	`jnl`	Mitigating Indirect Prompt Injection via Instruction-Following Intent Analysis. CoRR Mintong Kang, Chong Xiang, Sanjay Kariyappa, Chaowei Xiao, Bo Li, G. Edward Suh
2025	J	`jnl`	Stronger Enforcement of Instruction Hierarchy via Augmented Intermediate Representations. CoRR Sanjay Kariyappa, G. Edward Suh
2024	A*	`conf`	Information Flow Control in Machine Learning through Modular Model Architecture. USENIX Security Symposium Trishita Tiwari, Suchin Gururangan, Chuan Guo, Weizhe Hua, Sanjay Kariyappa, Udit Gupta, Wenjie Xiong, Kiwan Maeng, Hsien-Hsin S. Lee, G. Edward Suh
2024	J	`jnl`	Interpretable LLM-based Table Question Answering. CoRR Giang Nguyen, Ivan Brugere, Shubham Sharma, Sanjay Kariyappa, Anh Totti Nguyen, Freddy Lécué
2024	A*	`conf`	Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. ICML Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso
2024	J	`jnl`	Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. CoRR Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso
2024	A*	`conf`	SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features. AAAI Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lécué, Daniele Magazzeni
2023	A*	`conf`	Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information. NeurIPS Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh
2023	J	`jnl`	Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information. CoRR Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh
2023	A*	`conf`	Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis. ICML Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K. Qureshi, Hsien-Hsin S. Lee
2023	—	`conf`	ExPLoit: Extracting Private Labels in Split Learning. SaTML Sanjay Kariyappa, Moinuddin K. Qureshi
2023	J	`jnl`	Information Flow Control in Machine Learning through Modular Model Architecture. CoRR Trishita Tiwari, Suchin Gururangan, Chuan Guo, Weizhe Hua, Sanjay Kariyappa, Udit Gupta, Wenjie Xiong, Kiwan Maeng, Hsien-Hsin S. Lee, G. Edward Suh
2023	J	`jnl`	Privacy-Preserving Algorithmic Recourse. CoRR Sikha Pentyala, Shubham Sharma, Sanjay Kariyappa, Freddy Lécué, Daniele Magazzeni
2023	J	`jnl`	SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-k Features. CoRR Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lécué, Daniele Magazzeni
2023	—	`—`	Understanding and Mitigating Privacy Vulnerabilities in Deep Learning. Sanjay Kariyappa
2022	J	`jnl`	Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis. CoRR Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K. Qureshi, Hsien-Hsin S. Lee
2022	J	`jnl`	Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information. CoRR Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh
2021	—	`conf`	Bespoke Cache Enclaves: Fine-Grained and Scalable Isolation from Cache Side-Channels via Flexible Set-Partitioning. SEED Gururaj Saileshwar, Sanjay Kariyappa, Moinuddin K. Qureshi
2021	J	`jnl`	Enabling Inference Privacy with Adaptive Noise Injection. CoRR Sanjay Kariyappa, Ousmane Dia, Moinuddin K. Qureshi
2021	J	`jnl`	Gradient Inversion Attack: Leaking Private Labels in Two-Party Split Learning. CoRR Sanjay Kariyappa, Moinuddin K. Qureshi
2021	A*	`conf`	MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation. CVPR Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi
2021	A*	`conf`	Protecting DNNs from Theft using an Ensemble of Diverse Models. ICLR Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi
2020	A*	`conf`	Defending Against Model Stealing Attacks With Adaptive Misinformation. CVPR Sanjay Kariyappa, Moinuddin K. Qureshi
2020	J	`jnl`	MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation. CoRR Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi
2019	J	`jnl`	Defending Against Model Stealing Attacks with Adaptive Misinformation. CoRR Sanjay Kariyappa, Moinuddin K. Qureshi
2019	A*	`conf`	Enabling Transparent Memory-Compression for Commodity Memory Systems. HPCA Vinson Young, Sanjay Kariyappa, Moinuddin K. Qureshi
2019	J	`jnl`	Improving Adversarial Robustness of Ensembles with Diversity Training. CoRR Sanjay Kariyappa, Moinuddin K. Qureshi
2018	J	`jnl`	CRAM: Efficient Hardware-Based Memory Compression for Bandwidth Enhancement. CoRR Vinson Young, Sanjay Kariyappa, Moinuddin K. Qureshi