Chong Xiang

According to our database, Chong Xiang authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy.

Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou

CoRR, 2024

Certifiably Robust RAG against Retrieval Corruption.

Chong Xiang, Tong Wu, Zexuan Zhong, David A. Wagner, Danqi Chen, Prateek Mittal

CoRR, 2024

Position Paper: Beyond Robustness Against Single Attack Types.

Sihui Dai, Chong Xiang, Tong Wu, Prateek Mittal

CoRR, 2024

PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses.

Chong Xiang, Tong Wu, Sihui Dai, Jonathan Petit, Suman Jana, Prateek Mittal

Proceedings of the 33rd USENIX Security Symposium, 2024

2023

ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking.

Chong Xiang, Alexander Valtchanov, Saeed Mahloujifar, Prateek Mittal

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

MultiRobustBench: Benchmarking Robustness Against Multiple Attacks.

Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal

Proceedings of the International Conference on Machine Learning, 2023

2022

PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier.

Chong Xiang, Saeed Mahloujifar, Prateek Mittal

Proceedings of the 31st USENIX Security Symposium, 2022

Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?

Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches.

Chong Xiang, Prateek Mittal

CoRR, 2021

Improving Adversarial Robustness Using Proxy Distributions.

Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal

CoRR, 2021

PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking.

Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal

Proceedings of the 30th USENIX Security Symposium, 2021

DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks.

Chong Xiang, Prateek Mittal

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields.

Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal

CoRR, 2020

Voiceprint Mimicry Attack Towards Speaker Verification System in Smart Home.

Lei Zhang, Yan Meng, Jiahao Yu, Chong Xiang, Brandon Falk, Haojin Zhu

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

No-jump-into-latency in China's internet!: toward last-mile hop count based IP geo-localization.

Chong Xiang, Xinyu Wang, Qingrong Chen, Minhui Xue, Zhaoyu Gao, Haojin Zhu, Cailian Chen, Qiuhua Fan

Proceedings of the International Symposium on Quality of Service, 2019

Generating 3D Adversarial Point Clouds.

Chong Xiang, Charles R. Qi, Bo Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Differentially Private Data Generative Models.

Qingrong Chen, Chong Xiang, Minhui Xue, Bo Li, Nikita Borisov, Dali Kaafar, Haojin Zhu

CoRR, 2018

APPCLASSIFIER: Automated App Inference on Encrypted Traffic via Meta Data Analysis.

Chong Xiang, Qingrong Chen, Minhui Xue, Haojin Zhu

Proceedings of the IEEE Global Communications Conference, 2018