* Equal contribution

Software Engineering Conferences

• Natural-Language Workflows Are Not Software Yet: Artifact-Driven Compilation for Reliable Agent Execution
  Xiangzhe Xu^*, Hanxi Guo^*, Guangyu Shen, Siyuan Cheng, Xiangyu Zhang
  IEEE/ACM 49th International Conference on Software Engineering (ICSE 2027)
  

• CAST: A Compiler-Based Framework for Systematically Testing LLM Compositional Safety
  Lu Yan, Zhuo Zhang, Xiangzhe Xu, Shengwei An, Guangyu Shen, Zhou Xuan, Xuan Chen, Xiangyu Zhang
  Proceedings of the ACM on Software Engineering (ISSTA 2026)
  

Security Conferences

• BAIT: Large Language Model Backdoor Scanning by Inverting Attack Target
  Guangyu Shen^*, Siyuan Cheng^*, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Hanxi Guo, Lu Yan, Xiaolong Jin, Shengwei An, Shiqing Ma, Xiangyu Zhang
  Proceedings of the 46th IEEE Symposium on Security and Privacy (S&P 2025)
  

• CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
  Kaiyuan Zhang, Siyuan Cheng, Guangyu Shen, Bruno Ribeiro, Shengwei An, Pin-Yu Chen, Xiangyu Zhang, Ninghui Li
  Proceedings of the 30th Network and Distributed System Security Symposium (NDSS 2025)
  

• Exploring Inherent Backdoors in Deep Learning Models
  Guanhong Tao, Siyuan Cheng, Zhenting Wang, Shiqing Ma, Shengwei An, Yingqi Liu, Guangyu Shen, Zhuo Zhang, Yunshu Mao, Xiangyu Zhang
  Annual Computer Security Applications Conference (ACSAC 2024)
  

• ODSCAN: Backdoor Scanning for Object Detection Models
  Siyuan Cheng^*, Guangyu Shen^*, Guanhong Tao, Kaiyuan Zhang, Zhuo Zhang, Shengwei An, Xiangzhe Xu, Yingqi Liu, Shiqing Ma, Xiangyu Zhang
  Proceedings of the 45th IEEE Symposiums on Security and Privacy (S&P 2024)
  

• Exploring the Orthogonality and Linearity of Backdoor Attacks
  Kaiyuan Zhang^*, Siyuan Cheng^*, Guangyu Shen, Guanhong Tao, Shengwei An, Anuran Makur, Shiqing Ma, Xiangyu Zhang
  Proceedings of the 45th IEEE Symposiums on Security and Privacy (S&P 2024)
  

• On Large Language Models’ Resilience to Coercive Interrogation
  Zhuo Zhang, Guangyu Shen, Guanhong Tao, Siyuan Cheng, Xiangyu Zhang
  Proceedings of the 45th IEEE Symposiums on Security and Privacy (S&P 2024)
  

• Distribution Preserving Backdoor Attack in Self-supervised Learning
  Guanhong Tao, Zhenting Wang, Shiwei Feng, Guangyu Shen, Shiqing Ma, and Xiangyu Zhang
  Proceedings of the 45th IEEE Symposiums on Security and Privacy (S&P 2024)
  

• Rethinking the Invisible Protection against Unauthorized Image Usage in Stable Diffusion
  Shengwei An^* , Lu Yan^*, Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Xiangyu Zhang
  Proceedings of the 33rd USENIX Security Symposium (USENIX Security 2024)
  

• BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
  Siyuan Cheng, Guanhong Tao, Yingqi Liu, Shengwei An, Xiangzhe Xu, Shiwei Feng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Shiqing Ma, Xiangyu Zhang
  Proceedings of the 30th Network and Distributed System Security Symposium (NDSS 2023)
  

• Hard-label Black-box Universal Adversarial Patch Attack
  Guanhong Tao, Shengwei An, Siyuan Cheng, Guangyu Shen, Xiangyu Zhang
  Proceedings of the 32nd USENIX Security Symposium (USENIX Security 2023)
  

• PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models in Binary Code Analysis
  Zhuo Zhang, Guanhong Tao, Guangyu Shen, Shengwei An, Qiuling Xu, Yingqi Liu, Yapeng Ye, Yaoxuan Wu, Xiangyu Zhang
  Proceedings of the 32nd USENIX Security Symposium (USENIX Security 2023)
  

• ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes
  Shengwei An, Yuan Yao, Qiuling Xu, Shiqing Ma, Guanhong Tao, Siyuan Cheng, Kaiyuan Zhang, Yingqi Liu, Guangyu Shen, Ian Kelk, Xiangyu Zhang
  Proceedings of the 44rd IEEE Symposiums on Security and Privacy (S&P 2023)
  

• MIRROR: Model Inversion for Deep Learning Network with High Fidelity
  Shengwei An, Guanhong Tao, Qiuling Xu, Yingqi Liu, Guangyu Shen, Yuan Yao, Jingwei Xu, Xiangyu Zhang
  Proceedings of the 29th Network and Distributed System Security Symposium (NDSS 2022)
  

• PICCOLO: Exposing Complex Backdoors in NLP Transformer Models
  Yingqi Liu^*, Guangyu Shen^*, Guanhong Tao, Shengwei An, Shiqing Ma, Xiangyu Zhang
  Proceedings of the 43rd IEEE Symposiums on Security and Privacy (S&P 2022)
  

• Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security
  Guanhong Tao, Yingqi Liu, Guangyu Shen, Qiuling Xu, Shengwei An, Zhuo Zhang, and Xiangyu Zhang
  Proceedings of the 43rd IEEE Symposiums on Security and Privacy (S&P 2022)
  

AI/ML Conferences

• LensCT: Fine-Grained AI-Involved Text Detection via Temporal-Hierarchical Tomograms of LLM Internals
  Hanxi Guo, Siyuan Cheng, Kaiyuan Zhang, Guangyu Shen, Xiangyu Zhang
  Conference on Neural Information Processing Systems (NeurIPS 2026)
  

• When Harmful Intent Dissolves into Technical Detail: How Safe Are Coding Agents Against Cyber Misuse?
  Xiangzhe Xu, Shiwei Feng, Guangyu Shen, Xiangyu Zhang
  ACM Conference on AI and Agentic Systems (CAIS 2026)
  adapted by OpenHands

• AuthGuard: Generalizable Deepfake Detection via Language Guidance
  Guangyu Shen, Zhihua Li, Xiang Xu, Tianchen Zhao, Zheng Zhang, Dongsheng An, Zhuowen Tu, Yifan Xing, Qin Zhang
  Winter Conference on Applications of Computer Vision 2026 (WACV 2026)
  

• Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening
  Guanhong Tao, Siyuan Cheng, Guangyu Shen, Yingqi Liu, Shengwei An, Zhuo Zhang, Zhenting Wang, Hanxi Guo, Xiangyu Zhang
  Winter Conference on Applications of Computer Vision 2026 (WACV 2026)
  

• From Poisoned to Aware: Fostering Backdoor Self-Awareness in LLMs
  Guangyu Shen, Siyuan Cheng, Xiangzhe Xu, Yuan Zhou, Hanxi Guo, Zhuo Zhang, Xiangyu Zhang
  Proceedings of the 43rd International Conference on Machine Learning (ICML 2026)
  Spotlight Paper (Top 2.2%)
  

• JailbreakDiffBench: A Comprehensive Benchmark for Jailbreaking Diffusion Models
  Xiaolong Jin, Zixuan Weng, Hanxi Guo, Chenlong Yin, Siyuan Cheng, Guangyu Shen, Xiangyu Zhang
  International Conference on Computer Vision (ICCV 2025)
  

• Profiler: Black-box AI-generated Text Origin Detection via Context-aware Inference Pattern Analysis
  Hanxi Guo, Siyuan Cheng, Xiaolong Jin, Zhuo Zhang, Guangyu Shen, Kaiyuan Zhang, Shengwei An, Guanhong Tao, Xiangyu Zhang
  Conference on Empirical Methods in Natural Language Processing (EMNLP 2025)
  

• System Prompt Hijacking via Permutation Triggers in LLM Supply Chains
  Lu Yan, Siyuan Cheng, Xuan Chen, Kaiyuan Zhang, Guangyu Shen, Xiangyu Zhang
  Proceedings of the Association for Computational Linguistics (ACL 2025)
  

• UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
  Siyuan Cheng^*, Guangyu Shen^*, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Hanxi Guo, Shiqing Ma, Xiangyu Zhang
  The 18th European Conference on Computer Vision (ECCV 2024)
  

• LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
  Siyuan Cheng, Guanhong Tao, Yingqi Liu, Guangyu Shen, Shengwei An, Shiwei Feng, Xiangzhe Xu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)
  

• Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
  Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang
  Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024)
  

• Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration
  Guangyu Shen^*, Siyuan Cheng^*, Guanhong Tao, Kaiyuan Zhang, Yingqi Liu, Shengwei An, Shiqing Ma, Xiangyu Zhang
  Proceedings of 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
  

• ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP
  Lu Yan, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Xuan Cheng, Guangyu Shen, Xiangyu Zhang
  Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)
  

• FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
  Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang
  Proceedings of the Eleventh International Conference on Learning Representations (ICLR 2023)
  ECCV 2022 Workshop on Adversarial Robustness in the Real World (AROW 2023) Best Paper Award
  

• Detecting Backdoors in Pre-trained Encoders
  Shiwei Feng, Guanhong Tao, Siyuan Cheng, Guangyu Shen, Xiangzhe Xu, Yingqi Liu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)
  

• MEDIC: Remove Model Backdoors via Importance Driven Cloning
  Qiuling Xu, Guanhong Tao, Jean Honorio, Yingqi Liu, Shengwei An, Guangyu Shen, Siyuan Cheng, Xiangyu Zhang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)
  

• Better Trigger Inversion Optimization in Backdoor Scanning
  Guanhong Tao, Guangyu Shen, Yingqi Liu, Shengwei An, Qiuling Xu, Shiqing Ma, Pan Li, Xiangyu Zhang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022 Oral)
  

• Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
  Guangyu Shen^*, Yingqi Liu^*, Guanhong Tao, Qiuling Xu, Zhuo Zhang, Shengwei An, Shiqing Ma, Xiangyu Zhang
  Proceedings of the 39th International Conference on Machine Learning (ICML 2022)
  

• Complex Backdoor Detection by Symmetric Feature Differencing
  Yingqi Liu^*, Guangyu Shen^*, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022 (CVPR 2022)
  

• Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
  Guangyu Shen^*, Yingqi Liu^*, Guanhong Tao, Shengwei An, Qiuling Xu, Siyuan Cheng, Shiqing Ma, Xiangyu Zhang
  Proceedings of Thirty-eighth International Conference on Machine Learning (ICML 2021)
  

Pre-prints / Workshops

• ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants
  Xiangzhe Xu^*, Guangyu Shen^*, Zian Su, Siyuan Cheng, Hanxi Guo, Lu Yan, Xuan Chen, Jiasheng Jiang, Xiaolong Jin, Chengpeng Wang, Zhuo Zhang, Xiangyu Zhang
  NeurIPS 2025 Workshop on Socially Responsible and Trustworthy Foundation Models (ResponsibleFM 2025)
  🏆 Winning red-teaming solution in Amazon Nova AI Challenge
  

• Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia
  Guangyu Shen^*, Siyuan Cheng^*, Kaiyuan Zhang, Lu Yan, Shengwei An, Zhuo Zhang, Guanhong Tao, Shiqing Ma, Xiangyu Zhang
  NeurIPS 2025 Workshop on Socially Responsible and Trustworthy Foundation Models (ResponsibleFM 2025)
  

• A Systematic Threat Modeling of LLM Applications
  Guanhong Tao, Siyuan Cheng, Zhuo Zhang, Junmin Zhu, Guangyu Shen, Wanjing Han, Mu Zhang, Xiangyu Zhang
  FSE 2025 Workshop on LLM App Store Analysis (LLMapp 2025)
  

• CodeMirage: A Multi-Lingual Benchmark for Detecting AI-Generated and Paraphrased Source Code from Production-Level LLMs
  Hanxi Guo, Siyuan Cheng, Kaiyuan Zhang, Guangyu Shen, Xiangyu Zhang
  NeurIPS 2025 Workshop on Deep Learning for Code (DL4C 2025)
  

• SkewAct: Red Teaming Large Language Models via Activation-Skewed Adversarial Prompt Optimization
  Hanxi Guo, Siyuan Cheng, Guanhong Tao, Guangyu Shen, Zhuo Zhang, Shengwei An, Kaiyuan Zhang, Xiangyu Zhang
  NeurIPS 2024 Workshop on Red Teaming GenAI (RedTeaming 2024)
  

• MultiVerse: Exposing Large Language Model Alignment Problems in Diverse Worlds
  Xiaolong Jin, Zhuo Zhang, Guangyu Shen, Hanxi Guo, Kaiyuan Zhang, Siyuan Cheng, Xiangyu Zhang
  NeurIPS 2024 Workshop on Safe Generative AI (SafeGenAI 2024)
  

• D3: Detoxing Deep Learning Dataset
  Lu Yan, Siyuan Cheng, Guangyu Shen, Guanhong Tao, Kaiyuan Zhang, Yunshu Mao, Xiangyu Zhang
  NeurIPS 2023 Workshop on Backdoors in Deep Learning - The Good, the Bad, and the Ugly (Backdoors 2023)
  

• Hardening Modern Pre-trained NLP Models Against Backdoors
  Guangyu Shen^*, Yingqi Liu^*, Guanhong Tao, Zhuo Zhang, Qiuling Xu, Shengwei An, Shiqing Ma, Xiangyu Zhang