Guanhong Tao - RankMe

96 papers A* 43A 3B 1Journal 41Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Less Is More - Until It Breaks: Security Pitfalls of Vision Token Compression in Large Vision-Language Models. CoRR Xiaomei Zhang, Zhaoxi Zhang, Leo Yu Zhang, Yanjun Zhang, Guanhong Tao, Shirui Pan
2025	J	`jnl`	A Comprehensive Study of LLM Secure Code Generation. CoRR Shih-Chieh Dai, Jun Xu, Guanhong Tao
2025	—	`conf`	A Systematic Threat Modeling of LLM Applications. SIGSOFT FSE Companion Guanhong Tao, Siyuan Cheng, Zhuo Zhang, Junmin Zhu, Guangyu Shen, Wanjing Han, Mu Zhang, Xiangyu Zhang
2025	A*	`conf`	Alleviating the Fear of Losing Alignment in LLM Fine-tuning. SP Kang Yang, Guanhong Tao, Xun Chen, Jun Xu
2025	J	`jnl`	Alleviating the Fear of Losing Alignment in LLM Fine-tuning. CoRR Kang Yang, Guanhong Tao, Xun Chen, Jun Xu
2025	A*	`conf`	BAIT: Large Language Model Backdoor Scanning by Inverting Attack Target. SP Guangyu Shen, Siyuan Cheng, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Hanxi Guo, Lu Yan, Xiaolong Jin, Shengwei An, Shiqing Ma, Xiangyu Zhang
2025	J	`jnl`	Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation. CoRR Zhiyuan Zhong, Zhen Sun, Yepang Liu, Xinlei He, Guanhong Tao
2025	J	`jnl`	Blackbox Dataset Inference for LLM. CoRR Ruikai Zhou, Kang Yang, Xun Chen, Wendy Hui Wang, Guanhong Tao, Jun Xu
2025	J	`jnl`	Dataset Poisoning Attacks on Behavioral Cloning Policies. CoRR Akansha Kalra, Soumil Datta, Ethan Gilmore, Duc La, Guanhong Tao, Daniel S. Brown
2025	J	`jnl`	HarnessAgent: Scaling Automatic Fuzzing Harness Construction with Tool-Augmented LLM Pipelines. CoRR Kang Yang, Yunhang Zhang, Zichuan Li, Guanhong Tao, Jun Xu, Xiaojing Liao
2025	J	`jnl`	How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies. CoRR Basavasagar Patil, Akansha Kalra, Guanhong Tao, Daniel S. Brown
2025	A*	`conf`	Profiler: Black-box AI-generated Text Origin Detection via Context-aware Inference Pattern Analysis. EMNLP Hanxi Guo, Siyuan Cheng, Xiaolong Jin, Zhuo Zhang, Guangyu Shen, Kaiyuan Zhang, Shengwei An, Guanhong Tao, Xiangyu Zhang
2025	J	`jnl`	PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models. CoRR Lingzhi Yuan, Xinfeng Li, Chejian Xu, Guanhong Tao, Xiaojun Jia, Yihao Huang, Wei Dong, Yang Liu, Xiaofeng Wang, Bo Li
2025	J	`jnl`	Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving. CoRR Xuan Chen, Shiwei Feng, Zikang Xiong, Shengwei An, Yunshu Mao, Lu Yan, Guanhong Tao, Wenbo Guo, Xiangyu Zhang
2024	J	`jnl`	An Extractive-and-Abstractive Framework for Source Code Summarization. ACM Trans. Softw. Eng. Methodol. Weisong Sun, Chunrong Fang, Yuchen Chen, Quanjun Zhang, Guanhong Tao, Yudu You, Tingxu Han, Yifei Ge, Yuling Hu, Bin Luo, Zhenyu Chen
2024	A*	`conf`	BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens. NeurIPS Hanxi Guo, Siyuan Cheng, Xiaolong Jin, Zhuo Zhang, Kaiyuan Zhang, Guanhong Tao, Guangyu Shen, Xiangyu Zhang
2024	A*	`conf`	Distribution Preserving Backdoor Attack in Self-supervised Learning. SP Guanhong Tao, Zhenting Wang, Shiwei Feng, Guangyu Shen, Shiqing Ma, Xiangyu Zhang
2024	A*	`conf`	Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. AAAI 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
2024	J	`jnl`	Exploiting Watermark-Based Defense Mechanisms in Text-to-Image Diffusion Models for Unauthorized Data Usage. CoRR Soumil Datta, Shih-Chieh Dai, Leo Yu, Guanhong Tao
2024	A	`conf`	Exploring Inherent Backdoors in Deep Learning Models. ACSAC Guanhong Tao, Siyuan Cheng, Zhenting Wang, Shiqing Ma, Shengwei An, Yingqi Liu, Guangyu Shen, Zhuo Zhang, Yunshu Mao, Xiangyu Zhang
2024	A*	`conf`	Exploring the Orthogonality and Linearity of Backdoor Attacks. SP Kaiyuan Zhang, Siyuan Cheng, Guangyu Shen, Guanhong Tao, Shengwei An, Anuran Makur, Shiqing Ma, Xiangyu Zhang
2024	A*	`conf`	Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection. ICLR Zhiyuan Cheng, Hongjun Choi, Shiwei Feng, James Chenhao Liang, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang
2024	A*	`conf`	Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering. NDSS Rui Zhu, Di Tang, Siyuan Tang, Zihao Wang, Guanhong Tao, Shiqing Ma, Xiaofeng Wang, Haixu Tang
2024	J	`jnl`	LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning. CoRR Siyuan Cheng, Guanhong Tao, Yingqi Liu, Guangyu Shen, Shengwei An, Shiwei Feng, Xiangzhe Xu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang
2024	A*	`conf`	Lotus: Evasive and Resilient Backdoor Attacks through Sub-Partitioning. CVPR Siyuan Cheng, Guanhong Tao, Yingqi Liu, Guangyu Shen, Shengwei An, Shiwei Feng, Xiangzhe Xu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang
2024	A*	`conf`	OdScan: Backdoor Scanning for Object Detection Models. SP Siyuan Cheng, Guangyu Shen, Guanhong Tao, Kaiyuan Zhang, Zhuo Zhang, Shengwei An, Xiangzhe Xu, Yingqi Li, Shiqing Ma, Xiangyu Zhang
2024	A*	`conf`	On Large Language Models' Resilience to Coercive Interrogation. SP Zhuo Zhang, Guangyu Shen, Guanhong Tao, Siyuan Cheng, Xiangyu Zhang
2024	J	`jnl`	Opening A Pandora's Box: Things You Should Know in the Era of Custom GPTs. CoRR Guanhong Tao, Siyuan Cheng, Zhuo Zhang, Junmin Zhu, Guangyu Shen, Xiangyu Zhang
2024	J	`jnl`	Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia. CoRR Guangyu Shen, Siyuan Cheng, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Lu Yan, Zhuo Zhang, Shiqing Ma, Xiangyu Zhang
2024	A*	`conf`	Rethinking the Invisible Protection against Unauthorized Image Usage in Stable Diffusion. USENIX Security Symposium Shengwei An, Lu Yan, Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Xiangyu Zhang
2024	—	`conf`	Threat Behavior Textual Search by Attention Graph Isomorphism. EACL (1) Chanwoo Bae, Guanhong Tao, Zhuo Zhang, Xiangyu Zhang
2024	J	`jnl`	Threat Behavior Textual Search by Attention Graph Isomorphism. CoRR Chanwoo Bae, Guanhong Tao, Zhuo Zhang, Xiangyu Zhang
2024	—	`conf`	UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening. ECCV (62) Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Hanxi Guo, Shiqing Ma, Xiangyu Zhang
2024	J	`jnl`	UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening. CoRR Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Hanxi Guo, Shiqing Ma, Xiangyu Zhang
2023	A*	`conf`	Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks. ICLR Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang
2023	J	`jnl`	Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks. CoRR Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang
2023	A*	`conf`	BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense. NDSS Siyuan Cheng, Guanhong Tao, Yingqi Liu, Shengwei An, Xiangzhe Xu, Shiwei Feng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Shiqing Ma, Xiangyu Zhang
2023	J	`jnl`	BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense. CoRR Siyuan Cheng, Guanhong Tao, Yingqi Liu, Shengwei An, Xiangzhe Xu, Shiwei Feng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Shiqing Ma, Xiangyu Zhang
2023	A*	`conf`	BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning. NeurIPS Xuan Chen, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song
2023	—	`conf`	Backdooring Neural Code Search. ACL (1) Weisong Sun, Yuchen Chen, Guanhong Tao, Chunrong Fang, Xiangyu Zhang, Quanjun Zhang, Bin Luo
2023	J	`jnl`	Backdooring Neural Code Search. CoRR Weisong Sun, Yuchen Chen, Guanhong Tao, Chunrong Fang, Xiangyu Zhang, Quanjun Zhang, Bin Luo
2023	A*	`conf`	Detecting Backdoors in Pre-trained Encoders. CVPR Shiwei Feng, Guanhong Tao, Siyuan Cheng, Guangyu Shen, Xiangzhe Xu, Yingqi Liu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang
2023	J	`jnl`	Detecting Backdoors in Pre-trained Encoders. CoRR Shiwei Feng, Guanhong Tao, Siyuan Cheng, Guangyu Shen, Xiangzhe Xu, Yingqi Liu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang
2023	A*	`conf`	Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration. NeurIPS Guangyu Shen, Siyuan Cheng, Guanhong Tao, Kaiyuan Zhang, Yingqi Liu, Shengwei An, Shiqing Ma, Xiangyu Zhang
2023	J	`jnl`	Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. CoRR 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
2023	A*	`conf`	FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. ICLR Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang
2023	J	`jnl`	Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving. CoRR Zhiyuan Cheng, Hongjun Choi, James Liang, Shiwei Feng, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang
2023	J	`jnl`	Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering. CoRR Rui Zhu, Di Tang, Siyuan Tang, Guanhong Tao, Shiqing Ma, Xiaofeng Wang, Haixu Tang
2023	A*	`conf`	Hard-label Black-box Universal Adversarial Patch Attack. USENIX Security Symposium Guanhong Tao, Shengwei An, Siyuan Cheng, Guangyu Shen, Xiangyu Zhang
2023	A*	`conf`	ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes. SP Shengwei An, Yuan Yao, Qiuling Xu, Shiqing Ma, Guanhong Tao, Siyuan Cheng, Kaiyuan Zhang, Yingqi Liu, Guangyu Shen, Ian Kelk, Xiangyu Zhang
2023	A	`conf`	Improving Binary Code Similarity Transformer Models by Semantics-Driven Instruction Deemphasis. ISSTA Xiangzhe Xu, Shiwei Feng, Yapeng Ye, Guangyu Shen, Zian Su, Siyuan Cheng, Guanhong Tao, Qingkai Shi, Zhuo Zhang, Xiangyu Zhang
2023	A*	`conf`	MEDIC: Remove Model Backdoors via Importance Driven Cloning. CVPR Qiuling Xu, Guanhong Tao, Jean Honorio, Yingqi Liu, Shengwei An, Guangyu Shen, Siyuan Cheng, Xiangyu Zhang
2023	J	`jnl`	Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs. CoRR Zhuo Zhang, Guangyu Shen, Guanhong Tao, Siyuan Cheng, Xiangyu Zhang
2023	A*	`conf`	PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In Binary Code Analysis. USENIX Security Symposium Zhuo Zhang, Guanhong Tao, Guangyu Shen, Shengwei An, Qiuling Xu, Yingqi Liu, Yapeng Ye, Yaoxuan Wu, Xiangyu Zhang
2023	—	`conf`	PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model. ESEC/SIGSOFT FSE Xiangzhe Xu, Zhou Xuan, Shiwei Feng, Siyuan Cheng, Yapeng Ye, Qingkai Shi, Guanhong Tao, Le Yu, Zhuo Zhang, Xiangyu Zhang
2023	J	`jnl`	PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model. CoRR Xiangzhe Xu, Zhou Xuan, Shiwei Feng, Siyuan Cheng, Yapeng Ye, Qingkai Shi, Guanhong Tao, Le Yu, Zhuo Zhang, Xiangyu Zhang
2023	A*	`conf`	ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP. NeurIPS Lu Yan, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Xuan Chen, Guangyu Shen, Xiangyu Zhang
2023	J	`jnl`	ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP. CoRR Lu Yan, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Xuan Chen, Guangyu Shen, Xiangyu Zhang
2022	J	`jnl`	An Extractive-and-Abstractive Framework for Source Code Summarization. CoRR Weisong Sun, Chunrong Fang, Yuchen Chen, Quanjun Zhang, Guanhong Tao, Tingxu Han, Yifei Ge, Yudu You, Bin Luo
2022	J	`jnl`	Backdoor Vulnerabilities in Normally Trained Deep Learning Models. CoRR Guanhong Tao, Zhenting Wang, Siyuan Cheng, Shiqing Ma, Shengwei An, Yingqi Liu, Guangyu Shen, Zhuo Zhang, Yunshu Mao, Xiangyu Zhang
2022	A*	`conf`	Better Trigger Inversion Optimization in Backdoor Scanning. CVPR Guanhong Tao, Guangyu Shen, Yingqi Liu, Shengwei An, Qiuling Xu, Shiqing Ma, Pan Li, Xiangyu Zhang
2022	A*	`conf`	Bounded Adversarial Attack on Deep Content Features. CVPR Qiuling Xu, Guanhong Tao, Xiangyu Zhang
2022	B	`conf`	Checkpointing and deterministic training for deep learning. CAIN Xiangzhe Xu, Hongyu Liu, Guanhong Tao, Zhou Xuan, Xiangyu Zhang
2022	A*	`conf`	Code Search based on Context-aware Code Translation. ICSE Weisong Sun, Chunrong Fang, Yuchen Chen, Guanhong Tao, Tingxu Han, Quanjun Zhang
2022	J	`jnl`	Code Search based on Context-aware Code Translation. CoRR Weisong Sun, Chunrong Fang, Yuchen Chen, Guanhong Tao, Tingxu Han, Quanjun Zhang
2022	A*	`conf`	Complex Backdoor Detection by Symmetric Feature Differencing. CVPR Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang
2022	A*	`conf`	Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense. ICML Guangyu Shen, Yingqi Liu, Guanhong Tao, Qiuling Xu, Zhuo Zhang, Shengwei An, Shiqing Ma, Xiangyu Zhang
2022	J	`jnl`	Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense. CoRR Guangyu Shen, Yingqi Liu, Guanhong Tao, Qiuling Xu, Zhuo Zhang, Shengwei An, Shiqing Ma, Xiangyu Zhang
2022	J	`jnl`	DECK: Model Hardening for Defending Pervasive Backdoors. CoRR Guanhong Tao, Yingqi Liu, Siyuan Cheng, Shengwei An, Zhuo Zhang, Qiuling Xu, Guangyu Shen, Xiangyu Zhang
2022	J	`jnl`	FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. CoRR Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang
2022	A*	`conf`	MIRROR: Model Inversion for Deep LearningNetwork with High Fidelity. NDSS Guanhong Tao, Qiuling Xu, Yingqi Liu, Guangyu Shen, Shengwei An, Jingwei Xu, Xiangyu Zhang, Yuan Yao
2022	A*	`conf`	Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security. SP Guanhong Tao, Yingqi Liu, Guangyu Shen, Qiuling Xu, Shengwei An, Zhuo Zhang, Xiangyu Zhang
2022	—	`conf`	Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. ECCV (38) Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang
2022	J	`jnl`	Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. CoRR Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang
2022	A*	`conf`	Piccolo: Exposing Complex Backdoors in NLP Transformer Models. SP Yingqi Liu, Guangyu Shen, Guanhong Tao, Shengwei An, Shiqing Ma, Xiangyu Zhang
2022	—	`conf`	RULER: discriminative and iterative adversarial training for deep neural network fairness. ESEC/SIGSOFT FSE Guanhong Tao, Weisong Sun, Tingxu Han, Chunrong Fang, Xiangyu Zhang
2021	A*	`conf`	ALchemist: Fusing Application and Audit Logs for Precise Attack Provenance without Instrumentation. NDSS Le Yu, Shiqing Ma, Zhuo Zhang, Guanhong Tao, Xiangyu Zhang, Dongyan Xu, Vincent E. Urias, Han Wei Lin, Gabriela F. Ciocarlie, Vinod Yegneswaran, Ashish Gehani
2021	A*	`conf`	Backdoor Scanning for Deep Neural Networks through K-Arm Optimization. ICML Guangyu Shen, Yingqi Liu, Guanhong Tao, Shengwei An, Qiuling Xu, Siyuan Cheng, Shiqing Ma, Xiangyu Zhang
2021	J	`jnl`	Backdoor Scanning for Deep Neural Networks through K-Arm Optimization. CoRR Guangyu Shen, Yingqi Liu, Guanhong Tao, Shengwei An, Qiuling Xu, Siyuan Cheng, Shiqing Ma, Xiangyu Zhang
2021	J	`jnl`	EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry. CoRR Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang
2021	A*	`conf`	OSPREY: Recovery of Variable and Data Structure via Probabilistic Analysis for Stripped Binary. SP Zhuo Zhang, Yapeng Ye, Wei You, Guanhong Tao, Wen-Chuan Lee, Yonghwi Kwon, Yousra Aafer, Xiangyu Zhang
2021	A*	`conf`	StochFuzz: Sound and Cost-effective Fuzzing of Stripped Binaries by Incremental and Stochastic Rewriting. SP Zhuo Zhang, Wei You, Guanhong Tao, Yousra Aafer, Xuwei Liu, Xiangyu Zhang
2021	A*	`conf`	Towards Feature Space Adversarial Attack by Style Perturbation. AAAI Qiuling Xu, Guanhong Tao, Siyuan Cheng, Xiangyu Zhang
2020	A*	`conf`	CPC: automatically classifying and propagating natural language comments via program analysis. ICSE Juan Zhai, Xiangzhe Xu, Yu Shi, Guanhong Tao, Minxue Pan, Shiqing Ma, Lei Xu, Weifeng Zhang, Lin Tan, Xiangyu Zhang
2020	—	`conf`	Correlations between deep neural network model coverage criteria and model quality. ESEC/SIGSOFT FSE Shenao Yan, Guanhong Tao, Xuwei Liu, Juan Zhai, Shiqing Ma, Lei Xu, Xiangyu Zhang
2020	J	`jnl`	D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack. CoRR Qiuling Xu, Guanhong Tao, Xiangyu Zhang
2020	A*	`conf`	TRADER: trace divergence analysis and embedding regulation for debugging recurrent neural networks. ICSE Guanhong Tao, Shiqing Ma, Yingqi Liu, Qiuling Xu, Xiangyu Zhang
2020	J	`jnl`	Towards Feature Space Adversarial Attack. CoRR Qiuling Xu, Guanhong Tao, Siyuan Cheng, Lin Tan, Xiangyu Zhang
2019	A*	`conf`	ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation. CCS Yingqi Liu, Wen-Chuan Lee, Guanhong Tao, Shiqing Ma, Yousra Aafer, Xiangyu Zhang
2019	J	`jnl`	BDA: practical dependence analysis for binary executables by unbiased whole-program path sampling and per-path abstract interpretation. Proc. ACM Program. Lang. Zhuo Zhang, Wei You, Guanhong Tao, Guannan Wei, Yonghwi Kwon, Xiangyu Zhang
2019	A*	`conf`	NIC: Detecting Adversarial Samples with Neural Network Invariant Checking. NDSS Shiqing Ma, Yingqi Liu, Guanhong Tao, Wen-Chuan Lee, Xiangyu Zhang
2018	A*	`conf`	Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples. NeurIPS Guanhong Tao, Shiqing Ma, Yingqi Liu, Xiangyu Zhang
2018	J	`jnl`	Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples. CoRR Guanhong Tao, Shiqing Ma, Yingqi Liu, Xiangyu Zhang
2018	J	`jnl`	MalPat: Mining Patterns of Malicious and Benign Android Apps via Permission-Related APIs. IEEE Trans. Reliab. Guanhong Tao, Zibin Zheng, Ziying Guo, Michael R. Lyu
2018	A*	`conf`	Precise Android API Protection Mapping Derivation and Reasoning. CCS Yousra Aafer, Guanhong Tao, Jianjun Huang, Xiangyu Zhang, Ninghui Li
2016	A	`conf`	User-Specific Rating Prediction for Mobile Applications via Weight-Based Matrix Factorization. ICWS Jingke Meng, Zibin Zheng, Guanhong Tao, Xuanzhe Liu