Guangyu Shen

According to our database, Guangyu Shen authored at least 32 papers between 2018 and 2024.

Collaborative distances:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

2020

PENet: Object Detection using Points Estimation in Aerial Images.

Ziyang Tang, Xiang Liu, Guangyu Shen, Baijian Yang

CoRR, 2020

2019

Unrestricted Adversarial Attacks for Semantic Segmentation.

Guangyu Shen, Chengzhi Mao, Junfeng Yang, Baishakhi Ray

CoRR, 2019

2018

Multi-modal brain tumor image segmentation based on SDAE.

Yi Ding, Rongfeng Dong, Tian Lan, Xuerui Li, Guangyu Shen, Hao Chen, Zhiguang Qin

Int. J. Imaging Syst. Technol., 2018

Brain Tumor Segmentation Using Concurrent Fully Convolutional Networks and Conditional Random Fields.

Guangyu Shen, Yi Ding, Tian Lan, Hao Chen, Zhiguang Qin

Proceedings of the 3rd International Conference on Multimedia and Image Processing, 2018