Chong Xiang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Receptive Fields

Object Detectors

Generative Model

Top Venues

USENIX Security Symposium

Publications

Chong Xiang, Tong Wu, Zexuan Zhong, David A. Wagner, Danqi Chen, Prateek Mittal
Certifiably Robust RAG against Retrieval Corruption. CoRR (2024)
Chong Xiang, Tong Wu, Sihui Dai, Jonathan Petit, Suman Jana, Prateek Mittal
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses. USENIX Security Symposium (2024)
Sihui Dai, Chong Xiang, Tong Wu, Prateek Mittal
Position Paper: Beyond Robustness Against Single Attack Types. CoRR (2024)
Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. ICML (2023)
Chong Xiang, Tong Wu, Sihui Dai, Jonathan Petit, Suman Jana, Prateek Mittal
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses. CoRR (2023)
Chong Xiang, Alexander Valtchanov, Saeed Mahloujifar, Prateek Mittal
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking. SP (2023)
Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. CoRR (2023)
Chong Xiang, Saeed Mahloujifar, Prateek Mittal
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier. USENIX Security Symposium (2022)
Chong Xiang, Alexander Valtchanov, Saeed Mahloujifar, Prateek Mittal
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking. CoRR (2022)
Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? ICLR (2022)
Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking. USENIX Security Symposium (2021)
Chong Xiang, Saeed Mahloujifar, Prateek Mittal
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier. CoRR (2021)
Chong Xiang, Prateek Mittal
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks. CoRR (2021)
Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal
Improving Adversarial Robustness Using Proxy Distributions. CoRR (2021)
Chong Xiang, Prateek Mittal
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks. CCS (2021)
Chong Xiang, Prateek Mittal
PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches. CoRR (2021)
Lei Zhang, Yan Meng, Jiahao Yu, Chong Xiang, Brandon Falk, Haojin Zhu
Voiceprint Mimicry Attack Towards Speaker Verification System in Smart Home. INFOCOM (2020)
Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal
PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields. CoRR (2020)
Chong Xiang, Charles R. Qi, Bo Li
Generating 3D Adversarial Point Clouds. CVPR (2019)
Chong Xiang, Xinyu Wang, Qingrong Chen, Minhui Xue, Zhaoyu Gao, Haojin Zhu, Cailian Chen, Qiuhua Fan
No-jump-into-latency in China's internet!: toward last-mile hop count based IP geo-localization. IWQoS (2019)
Chong Xiang, Qingrong Chen, Minhui Xue, Haojin Zhu
APPCLASSIFIER: Automated App Inference on Encrypted Traffic via Meta Data Analysis. GLOBECOM (2018)
Chong Xiang, Charles R. Qi, Bo Li
Generating 3D Adversarial Point Clouds. CoRR (2018)
Qingrong Chen, Chong Xiang, Minhui Xue, Bo Li, Nikita Borisov, Dali Kaafar, Haojin Zhu
Differentially Private Data Generative Models. CoRR (2018)