Yechao Zhang

40 papers A* 14Journal 25Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure.
AAAI
Lulu Xue, Shengshan Hu, Linqiang Qian, Peijin Guo, Yechao Zhang, Minghui Li, Yanjun Zhang, Dayong Ye, Leo Yu Zhang
2026 J jnl
Give Them an Inch and They Will Take a Mile:Understanding and Measuring Caller Identity Confusion in MCP-Based AI Systems.
CoRR
Yuhang Huang, Boyang Ma, Biwei Yan, Xuelong Dai, Yechao Zhang, Mingliang Xu, Kaidi Xu, Yue Zhang
2026 J jnl
Low Rank Comes with Low Security: Gradient Assembly Poisoning Attacks against Distributed LoRA-based LLM Systems.
CoRR
Yueyan Dong, Minghui Xu, Qin Hu, Yinhao Xiao, Qi Luo, Yechao Zhang, Yue Zhang, Xiuzhen Cheng
2026 A* conf
MHB: Medical Hallucination Benchmark for Large Language Models in Complex Clinical Tasks.
AAAI
Jianrong Lu, Junwei Liu, Xingyun Zheng, Minghui Yang, Jian Wang, Ping Wang, Yechao Zhang
2026 J jnl
Mind Your HEARTBEAT! Claw Background Execution Inherently Enables Silent Memory Pollution.
CoRR
Yechao Zhang, Shiqian Zhao, Jie Zhang, Gelei Deng, Jiawen Zhang, Xiaogeng Liu, Chaowei Xiao, Tianwei Zhang
2026 J jnl
ReasoningBomb: A Stealthy Denial-of-Service Attack by Inducing Pathologically Long Reasoning in Large Reasoning Models.
CoRR
Xiaogeng Liu, Xinyan Wang, Yechao Zhang, Sanjay Kariyappa, Chong Xiang, Muhao Chen, G. Edward Suh, Chaowei Xiao
2026 J jnl
What Breaks Embodied AI Security:LLM Vulnerabilities, CPS Flaws,or Something Else?
CoRR
Boyang Ma, Hechuan Guo, Peizhuo Lv, Minghui Xu, Xuelong Dai, Yechao Zhang, Yijun Yang, Yue Zhang
2025 J jnl
"MCP Does Not Stand for Misuse Cryptography Protocol": Uncovering Cryptographic Misuse in Model Context Protocol at Scale.
CoRR
Biwei Yan, Yue Zhang, Minghui Xu, Hao Wu, Yechao Zhang, Kun Li, Guoming Zhang, Xiuzhen Cheng
2025 J jnl
A Systematic Study of Code Obfuscation Against LLM-based Vulnerability Detection.
CoRR
Xiao Li, Yue Li, Hao Wu, Yue Zhang, Yechao Zhang, Fengyuan Xu, Sheng Zhong
2025 J jnl
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure.
CoRR
Lulu Xue, Shengshan Hu, Linqiang Qian, Peijin Guo, Yechao Zhang, Minghui Li, Yanjun Zhang, Dayong Ye, Leo Yu Zhang
2025 A* conf
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization.
AAAI
Yechao Zhang, Yingzhe Xu, Junyu Shi, Leo Yu Zhang, Shengshan Hu, Minghui Li, Yanjun Zhang
2025 J jnl
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization.
CoRR
Yechao Zhang, Yingzhe Xu, Junyu Shi, Leo Yu Zhang, Shengshan Hu, Minghui Li, Yanjun Zhang
2025 J jnl
MARS: A Malignity-Aware Backdoor Defense in Federated Learning.
CoRR
Wei Wan, Yuxuan Ning, Zhicong Huang, Cheng Hong, Shengshan Hu, Ziqi Zhou, Yechao Zhang, Tianqing Zhu, Wanlei Zhou, Leo Yu Zhang
2025 J jnl
Say What You Mean: Natural Language Access Control with Large Language Models for Internet of Things.
CoRR
Ye Cheng, Mingliang Xu, Yue Zhang, Kun Li, Hao Wu, Yechao Zhang, Shaoyong Guo, Wangjie Qiu, Dongxiao Yu, Xiuzhen Cheng
2025 A* conf
Secure Transfer Learning: Training Clean Model Against Backdoor in Pre-Trained Encoder and Downstream Dataset.
SP
Yechao Zhang, Yuxuan Zhou, Tianyu Li, Minghui Li, Shengshan Hu, Wei Luo, Leo Yu Zhang
2025 J jnl
Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets.
CoRR
Yechao Zhang, Yuxuan Zhou, Tianyu Li, Minghui Li, Shengshan Hu, Wei Luo, Leo Yu Zhang
2025 J jnl
Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM.
CoRR
Lei Yu, Yechao Zhang, Ziqi Zhou, Yang Wu, Wei Wan, Minghui Li, Shengshan Hu, Pei Xiaobing, Jing Wang
2025 J jnl
Towards Real-World Deepfake Detection: A Diverse In-the-wild Dataset of Forgery Faces.
CoRR
Junyu Shi, Minghui Li, Junguo Zuo, Zhifei Yu, Yipeng Lin, Shengshan Hu, Ziqi Zhou, Yechao Zhang, Wei Wan, Yinzhe Xu, Leo Yu Zhang
2025 A* conf
Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling.
EMNLP
Minghui Li, Hao Zhang, Yechao Zhang, Wei Wan, Shengshan Hu, Pei Xiaobing, Jing Wang
2025 J jnl
Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling.
CoRR
Minghui Li, Hao Zhang, Yechao Zhang, Wei Wan, Shengshan Hu, Pei Xiaobing, Jing Wang
2025 J jnl
Why does weak-OOD help? A Further Step Towards Understanding Jailbreaking VLMs.
CoRR
Yuxuan Zhou, Yuzhao Peng, Yang Bai, Kuofeng Gao, Yihao Zhang, Yechao Zhang, Xun Chen, Tao Yu, Tao Dai, Shu-Tao Xia
2024 — conf
ECLIPSE: Expunging Clean-Label Indiscriminate Poisons via Sparse Diffusion Purification.
ESORICS (1)
Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin
2024 J jnl
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification.
CoRR
Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin
2024 A* conf
Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics.
SP
Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang
2024 A* conf
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples.
SP
Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin
2024 J jnl
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples.
CoRR
Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin
2024 A* conf
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need.
NeurIPS
Xianlong Wang, Minghui Li, Wei Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin
2024 J jnl
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need.
CoRR
Xianlong Wang, Minghui Li, Wei Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin
2024 A* conf
Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability.
SP
Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin
2023 A* conf
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning.
ACM Multimedia
Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, Hai Jin
2023 J jnl
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning.
CoRR
Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, Hai Jin
2023 A* conf
PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness.
ACM Multimedia
Shengshan Hu, Wei Liu, Minghui Li, Yechao Zhang, Xiaogeng Liu, Xianlong Wang, Leo Yu Zhang, Junhui Hou
2023 J jnl
Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics.
CoRR
Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang
2023 J jnl
Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training.
CoRR
Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin
2022 A* conf
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label.
ACM Multimedia
Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin
2022 J jnl
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label.
CoRR
Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin
2022 A* conf
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer.
CVPR
Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu
2022 J jnl
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer.
CoRR
Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu
2022 J jnl
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation.
CoRR
Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu
2021 A* conf
AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch.
ACM Multimedia
Shengshan Hu, Yechao Zhang, Xiaogeng Liu, Leo Yu Zhang, Minghui Li, Hai Jin