Xiangyu Qi

According to our database, Xiangyu Qi authored at least 21 papers between 2020 and 2024.

Collaborative distances:

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

2024

Computer-Vision-Based Sensing Technologies for Livestock Body Dimension Measurement: A Survey.

Weihong Ma, Yi Sun, Xiangyu Qi, Xianglong Xue, Kaixuan Chang, Zhankang Xu, Mingyu Li, Rong Wang, Rui Meng, Qifeng Li

Sensors, March, 2024

Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs.

Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal

CoRR, 2024

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors.

Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal

CoRR, 2024

Safety Alignment Should Be Made More Than Just a Few Tokens Deep.

Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy, Ahmad Beirami, Prateek Mittal, Peter Henderson

CoRR, 2024

Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks.

Chen Xiong, Xiangyu Qi, Pin-Yu Chen, Tsung-Yi Ho

CoRR, 2024

AI Risk Management Should Incorporate Both Safety and Security.

Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal

CoRR, 2024

Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment.

Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Yixuan Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao

CoRR, 2024

Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications.

Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson

Proceedings of the Forty-first International Conference on Machine Learning, 2024

BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection.

Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen T. Wang, Prateek Mittal

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Visual Adversarial Examples Jailbreak Aligned Large Language Models.

Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Visual Adversarial Examples Jailbreak Large Language Models.

Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Mengdi Wang, Prateek Mittal

CoRR, 2023

Towards A Proactive ML Approach for Detecting Backdoor Poison Samples.

Xiangyu Qi, Tinghao Xie, Jiachen T. Wang, Tong Wu, Saeed Mahloujifar, Prateek Mittal

Proceedings of the 32nd USENIX Security Symposium, 2023

Uncovering Adversarial Risks of Test-Time Adaptation.

Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal

Proceedings of the International Conference on Machine Learning, 2023

Revisiting the Assumption of Latent Separability for Backdoor Defenses.

Xiangyu Qi, Tinghao Xie, Yiming Li, Saeed Mahloujifar, Prateek Mittal

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Fight Poison with Poison: Detecting Backdoor Poison Samples via Decoupling Benign Correlations.

Xiangyu Qi, Tinghao Xie, Saeed Mahloujifar, Prateek Mittal

CoRR, 2022

Circumventing Backdoor Defenses That Are Based on Latent Separability.

Xiangyu Qi, Tinghao Xie, Saeed Mahloujifar, Prateek Mittal

CoRR, 2022

Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.

Xiangyu Qi, Tinghao Xie, Ruizhe Pan, Jifeng Zhu, Yong Yang, Kai Bu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting.

Xiangyu Qi, Jifeng Zhu, Chulin Xie, Yong Yang

CoRR, 2021

Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks.

Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic, Ce Zhang, Bo Li

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

SoK: Certified Robustness for Deep Neural Networks.

Linyi Li, Xiangyu Qi, Tao Xie, Bo Li

CoRR, 2020