Chong Xiang - RankMe

34 papers A* 11B 2Journal 20Unranked 1

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
2025	J	`jnl`	Does More Inference-Time Compute Really Help Robustness? CoRR Tong Wu, Chong Xiang, Jiachen T. Wang, Weichen Yu, Chawin Sitawarin, Vikash Sehwag, Prateek Mittal
2025	J	`jnl`	Effectively Controlling Reasoning Models through Thinking Intervention. CoRR Tong Wu, Chong Xiang, Jiachen T. Wang, Prateek Mittal
2025	A*	`conf`	Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy. ICLR Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou
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	A*	`conf`	PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches. CVPR Dennis Jacob, Chong Xiang, Prateek Mittal
2025	J	`jnl`	PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches. CoRR Dennis Jacob, Chong Xiang, Prateek Mittal
2025	J	`jnl`	ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search. CoRR Zeyu Shen, Basileal Imana, Tong Wu, Chong Xiang, Prateek Mittal, Aleksandra Korolova
2024	J	`jnl`	Certifiably Robust RAG against Retrieval Corruption. CoRR Chong Xiang, Tong Wu, Zexuan Zhong, David A. Wagner, Danqi Chen, Prateek Mittal
2024	J	`jnl`	Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy. CoRR Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou
2024	A*	`conf`	PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses. USENIX Security Symposium Chong Xiang, Tong Wu, Sihui Dai, Jonathan Petit, Suman Jana, Prateek Mittal
2024	J	`jnl`	Position Paper: Beyond Robustness Against Single Attack Types. CoRR Sihui Dai, Chong Xiang, Tong Wu, Prateek Mittal
2023	A*	`conf`	MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. ICML Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal
2023	J	`jnl`	MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. CoRR Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal
2023	A*	`conf`	ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking. SP Chong Xiang, Alexander Valtchanov, Saeed Mahloujifar, Prateek Mittal
2023	J	`jnl`	PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses. CoRR Chong Xiang, Tong Wu, Sihui Dai, Jonathan Petit, Suman Jana, Prateek Mittal
2023	—	`conf`	Short: Certifiably Robust Perception Against Adversarial Patch Attacks: A Survey. VehicleSec Chong Xiang, Chawin Sitawarin, Tong Wu, Prateek Mittal
2022	J	`jnl`	ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking. CoRR Chong Xiang, Alexander Valtchanov, Saeed Mahloujifar, Prateek Mittal
2022	A*	`conf`	PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier. USENIX Security Symposium Chong Xiang, Saeed Mahloujifar, Prateek Mittal
2022	A*	`conf`	Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? ICLR Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal
2021	A*	`conf`	DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks. CCS Chong Xiang, Prateek Mittal
2021	J	`jnl`	DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks. CoRR Chong Xiang, Prateek Mittal
2021	J	`jnl`	Improving Adversarial Robustness Using Proxy Distributions. CoRR Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal
2021	J	`jnl`	PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier. CoRR Chong Xiang, Saeed Mahloujifar, Prateek Mittal
2021	J	`jnl`	PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches. CoRR Chong Xiang, Prateek Mittal
2021	A*	`conf`	PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking. USENIX Security Symposium Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal
2020	J	`jnl`	PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields. CoRR Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal
2020	A*	`conf`	Voiceprint Mimicry Attack Towards Speaker Verification System in Smart Home. INFOCOM Lei Zhang, Yan Meng, Jiahao Yu, Chong Xiang, Brandon Falk, Haojin Zhu
2019	A*	`conf`	Generating 3D Adversarial Point Clouds. CVPR Chong Xiang, Charles R. Qi, Bo Li
2019	B	`conf`	No-jump-into-latency in China's internet!: toward last-mile hop count based IP geo-localization. IWQoS Chong Xiang, Xinyu Wang, Qingrong Chen, Minhui Xue, Zhaoyu Gao, Haojin Zhu, Cailian Chen, Qiuhua Fan
2018	B	`conf`	APPCLASSIFIER: Automated App Inference on Encrypted Traffic via Meta Data Analysis. GLOBECOM Chong Xiang, Qingrong Chen, Minhui Xue, Haojin Zhu
2018	J	`jnl`	Differentially Private Data Generative Models. CoRR Qingrong Chen, Chong Xiang, Minhui Xue, Bo Li, Nikita Borisov, Dali Kaafar, Haojin Zhu
2018	J	`jnl`	Generating 3D Adversarial Point Clouds. CoRR Chong Xiang, Charles R. Qi, Bo Li