Guanhong Tao

According to our database, Guanhong Tao authored at least 58 papers between 2016 and 2024.

Collaborative distances:

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

2024

An Extractive-and-Abstractive Framework for Source Code Summarization.

Weisong Sun, Chunrong Fang, Yuchen Chen, Quanjun Zhang, Guanhong Tao, Yudu You, Tingxu Han, Yifei Ge, Yuling Hu, Bin Luo, Zhenyu Chen

ACM Trans. Softw. Eng. Methodol., March, 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

CoRR, 2024

Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia.

Guangyu Shen, Siyuan Cheng, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Lu Yan, Zhuo Zhang, Shiqing Ma, Xiangyu Zhang

CoRR, 2024

Opening A Pandora's Box: Things You Should Know in the Era of Custom GPTs.

Guanhong Tao, Siyuan Cheng, Zhuo Zhang, Junmin Zhu, Guangyu Shen, Xiangyu Zhang

CoRR, 2024

Threat Behavior Textual Search by Attention Graph Isomorphism.

Chanwoo Bae, Guanhong Tao, Zhuo Zhang, Xiangyu Zhang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 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 Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs.

Zhuo Zhang, Guangyu Shen, Guanhong Tao, Siyuan Cheng, Xiangyu Zhang

CoRR, 2023

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

CoRR, 2023

ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP.

Lu Yan, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Xuan Chen, Guangyu Shen, Xiangyu Zhang

CoRR, 2023

Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving.

Zhiyuan Cheng, Hongjun Choi, James Liang, Shiwei Feng, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang

CoRR, 2023

Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering.

Rui Zhu, Di Tang, Siyuan Tang, Guanhong Tao, Shiqing Ma, XiaoFeng Wang, Haixu Tang

CoRR, 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, 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, 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 44th IEEE Symposium on Security and Privacy, 2023

PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model.

Xiangzhe Xu, Zhou Xuan, Shiwei Feng, Siyuan Cheng, Yapeng Ye, Qingkai Shi, Guanhong Tao, Le Yu, Zhuo Zhang, Xiangyu Zhang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP.

Lu Yan, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Xuan Chen, Guangyu Shen, Xiangyu Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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 the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning.

Xuan Chen, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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 Annual Network and Distributed System Security Symposium, 2023

Improving Binary Code Similarity Transformer Models by Semantics-Driven Instruction Deemphasis.

Xiangzhe Xu, Shiwei Feng, Yapeng Ye, Guangyu Shen, Zian Su, Siyuan Cheng, Guanhong Tao, Qingkai Shi, Zhuo Zhang, Xiangyu Zhang

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks.

Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 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, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Detecting Backdoors in Pre-trained Encoders.

Shiwei Feng, Guanhong Tao, Siyuan Cheng, Guangyu Shen, Xiangzhe Xu, Yingqi Liu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Backdooring Neural Code Search.

Weisong Sun, Yuchen Chen, Guanhong Tao, Chunrong Fang, Xiangyu Zhang, Quanjun Zhang, Bin Luo

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Backdoor Vulnerabilities in Normally Trained Deep Learning Models.

Guanhong Tao, Zhenting Wang, Siyuan Cheng, Shiqing Ma, Shengwei An, Yingqi Liu, Guangyu Shen, Zhuo Zhang, Yunshu Mao, Xiangyu Zhang

CoRR, 2022

DECK: Model Hardening for Defending Pervasive Backdoors.

Guanhong Tao, Yingqi Liu, Siyuan Cheng, Shengwei An, Zhuo Zhang, Qiuling Xu, Guangyu Shen, Xiangyu Zhang

CoRR, 2022

An Extractive-and-Abstractive Framework for Source Code Summarization.

Weisong Sun, Chunrong Fang, Yuchen Chen, Quanjun Zhang, Guanhong Tao, Tingxu Han, Yifei Ge, Yudu You, Bin Luo

CoRR, 2022

Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense.

Guangyu Shen, Yingqi Liu, Guanhong Tao, Qiuling Xu, Zhuo Zhang, Shengwei An, Shiqing Ma, Xiangyu Zhang

CoRR, 2022

Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security.

Guanhong Tao, Yingqi Liu, Guangyu Shen, Qiuling Xu, Shengwei An, Zhuo Zhang, Xiangyu Zhang

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 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 Symposium on Security and Privacy, 2022

RULER: discriminative and iterative adversarial training for deep neural network fairness.

Guanhong Tao, Weisong Sun, Tingxu Han, Chunrong Fang, Xiangyu Zhang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

MIRROR: Model Inversion for Deep LearningNetwork with High Fidelity.

Guanhong Tao, Qiuling Xu, Yingqi Liu, Guangyu Shen, Shengwei An, Jingwei Xu, Xiangyu Zhang, Yuan Yao

Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

Code Search based on Context-aware Code Translation.

Weisong Sun, Chunrong Fang, Yuchen Chen, Guanhong Tao, Tingxu Han, Quanjun Zhang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

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 International Conference on Machine Learning, 2022

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches.

Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Bounded Adversarial Attack on Deep Content Features.

Qiuling Xu, Guanhong Tao, Xiangyu Zhang

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

Better Trigger Inversion Optimization in Backdoor Scanning.

Guanhong Tao, Guangyu Shen, Yingqi Liu, Shengwei An, Qiuling Xu, Shiqing Ma, Pan Li, Xiangyu Zhang

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

Complex Backdoor Detection by Symmetric Feature Differencing.

Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang

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

Checkpointing and deterministic training for deep learning.

Xiangzhe Xu, Hongyu Liu, Guanhong Tao, Zhou Xuan, Xiangyu Zhang

Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022

2021

EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry.

Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang

CoRR, 2021

OSPREY: Recovery of Variable and Data Structure via Probabilistic Analysis for Stripped Binary.

Zhuo Zhang, Yapeng Ye, Wei You, Guanhong Tao, Wen-Chuan Lee, Yonghwi Kwon, Yousra Aafer, Xiangyu Zhang

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

StochFuzz: Sound and Cost-effective Fuzzing of Stripped Binaries by Incremental and Stochastic Rewriting.

Zhuo Zhang, Wei You, Guanhong Tao, Yousra Aafer, Xuwei Liu, Xiangyu Zhang

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

ALchemist: Fusing Application and Audit Logs for Precise Attack Provenance without Instrumentation.

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

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

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 the 38th International Conference on Machine Learning, 2021

Towards Feature Space Adversarial Attack by Style Perturbation.

Qiuling Xu, Guanhong Tao, Siyuan Cheng, Xiangyu Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack.

Qiuling Xu, Guanhong Tao, Xiangyu Zhang

CoRR, 2020

Towards Feature Space Adversarial Attack.

Qiuling Xu, Guanhong Tao, Siyuan Cheng, Lin Tan, Xiangyu Zhang

CoRR, 2020

Correlations between deep neural network model coverage criteria and model quality.

Shenao Yan, Guanhong Tao, Xuwei Liu, Juan Zhai, Shiqing Ma, Lei Xu, Xiangyu Zhang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

CPC: automatically classifying and propagating natural language comments via program analysis.

Juan Zhai, Xiangzhe Xu, Yu Shi, Guanhong Tao, Minxue Pan, Shiqing Ma, Lei Xu, Weifeng Zhang, Lin Tan, Xiangyu Zhang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

TRADER: trace divergence analysis and embedding regulation for debugging recurrent neural networks.

Guanhong Tao, Shiqing Ma, Yingqi Liu, Qiuling Xu, Xiangyu Zhang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

BDA: practical dependence analysis for binary executables by unbiased whole-program path sampling and per-path abstract interpretation.

Zhuo Zhang, Wei You, Guanhong Tao, Guannan Wei, Yonghwi Kwon, Xiangyu Zhang

Proc. ACM Program. Lang., 2019

NIC: Detecting Adversarial Samples with Neural Network Invariant Checking.

Shiqing Ma, Yingqi Liu, Guanhong Tao, Wen-Chuan Lee, Xiangyu Zhang

Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation.

Yingqi Liu, Wen-Chuan Lee, Guanhong Tao, Shiqing Ma, Yousra Aafer, Xiangyu Zhang

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

MalPat: Mining Patterns of Malicious and Benign Android Apps via Permission-Related APIs.

Guanhong Tao, Zibin Zheng, Ziying Guo, Michael R. Lyu

IEEE Trans. Reliab., 2018

Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples.

Guanhong Tao, Shiqing Ma, Yingqi Liu, Xiangyu Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Precise Android API Protection Mapping Derivation and Reasoning.

Yousra Aafer, Guanhong Tao, Jianjun Huang, Xiangyu Zhang, Ninghui Li

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2016

User-Specific Rating Prediction for Mobile Applications via Weight-Based Matrix Factorization.

Jingke Meng, Zibin Zheng, Guanhong Tao, Xuanzhe Liu

Proceedings of the IEEE International Conference on Web Services, 2016