I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators. - Lingxiao Wei; Bo Luo; Yu Li 007; Yannan Liu; Qiang Xu 001 (ACSAC, 2018)

IEEE Std P1838's flexible parallel port and its specification with Google's protocol buffers. - Yu Li 007; Ming Shao; Hailong Jiao; Adam Cron; Sandeep Bhatia; Erik Jan Marinissen (ETS, 2018)

D2NN: a fine-grained dual modular redundancy framework for deep neural networks. - Yu Li 007; Yannan Liu; Min Li 019; Ye Tian 010; Bo Luo; Qiang Xu 001 (ACSAC, 2019)

On Functional Test Generation for Deep Neural Network IPs. - Bo Luo; Yu Li 007; Lingxiao Wei; Qiang Xu 001 (DATE, 2019)

DeepDyve: Dynamic Verification for Deep Neural Networks. - Yu Li 007; Min Li 019; Bo Luo; Ye Tian 010; Qiang Xu 001 (CCS, 2020)

On Configurable Defense against Adversarial Example Attacks. - Bo Luo; Min Li 019; Yu Li 007; Qiang Xu 001 (ACM Great Lakes Symposium on VLSI, 2020)

AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference. - Min Li 019; Yu Li 007; Ye Tian 010; Li Jiang 002; Qiang Xu 001 (DAC, 2021)

Information Bottleneck Approach to Spatial Attention Learning. - Qiuxia Lai; Yu Li 007; Ailing Zeng; Minhao Liu; Hanqiu Sun; Qiang Xu 001 (IJCAI, 2021)

TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. - Yu Li 007; Min Li 019; Qiuxia Lai; Yannan Liu; Qiang Xu 001 (NeurIPS, 2021)

On Workload-Aware DRAM Failure Prediction in Large-Scale Data Centers. - Xingyi Wang; Yu Li 007; Yiquan Chen; Shiwen Wang; Yin Du; Cheng He; Yuzhong Zhang; Pinan Chen; Xin Li; Wenjun Song; Qiang Xu 001; Li Jiang 002 (VTS, 2021)

MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis. - Yijun Yang; Ruiyuan Gao 001; Yu Li 007; Qiuxia Lai; Qiang Xu 001 (CoRR, 2021)

HybridRepair: towards annotation-efficient repair for deep learning models. - Yu Li 007; Muxi Chen; Qiang Xu 001 (ISSTA, 2022)

What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction. - Yijun Yang; Ruiyuan Gao 001; Yu Li 007; Qiuxia Lai; Qiang Xu 001 (NDSS, 2022)

An Empirical Study on the Efficacy of Deep Active Learning for Image Classification. - Yu Li 007; Muxi Chen; Yannan Liu; Daojing He; Qiang Xu 001 (CoRR, 2022)

EXPERT: EXPloiting DRAM ERror Types to Improve the Effective Forecasting Coverage in the Field. - Xiangjun Peng; Zheng Huang; Alex Cantrell; Bihua Shu; Ke Ke Xie; Yi Li; Yu Li 007; Li Jiang 009; Qiang Xu 001; Ming-Chang Yang (DSN-S, 2023)

Towards Robust Deep Neural Networks Against Design-Time and Run-Time Failures. - Yu Li 007; Qiang Xu 001 (ITC, 2023)

HiBug: On Human-Interpretable Model Debug. - Muxi Chen; Yu Li 007; Qiang Xu 001 (NeurIPS, 2023)

RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation. - Jiawei Zhou; Linye Lyu; Daojing He; Yu Li 007 (ICML, 2024)

Enhancing Flow Embedding Through Trace: A Novel Self-supervised Approach for Encrypted Traffic Classification. - Zefei Luo; Yu Li 007; Shuaishuai Tan; Daojing He (IJCNN, 2024)

Vector Quantization Prompting for Continual Learning. - Li Jiao; Qiuxia Lai; Yu Li 007; Qiang Xu 001 (NeurIPS, 2024)

CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors. - Linye Lyu; Jiawei Zhou; Daojing He; Yu Li 007 (NeurIPS, 2024)

Toward Robust and Accurate Adversarial Camouflage Generation against Vehicle Detectors. - Jiawei Zhou; Linye Lyu; Daojing He; Yu Li 007 (CoRR, 2024)

Spatial attention for human-centric visual understanding: An Information Bottleneck method. - Qiuxia Lai; Yongwei Nie; Yu Li 007; Hanqiu Sun; Qiang Xu 001 (Comput. Vis. Image Underst., 2024)

Self-Supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades. - Qiuxia Lai; Ailing Zeng; Ye Wang 011; Lihong Cao; Yu Li 007; Qiang Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

On Function-Coupled Watermarks for Deep Neural Networks. - Xiangyu Wen; Yu Li 007; Wei Jiang 016; Qiang Xu 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models. - Zhiheng Huang; Yannan Liu; Daojing He; Yu Li 007 (AAAI, 2025)

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming. - Weiyang Guo; Jing Li 034; Wenya Wang; Yu Li 007; Daojing He; Jun Yu; Min Zhang 005 (ACL (1), 2025)

Safety Alignment via Constrained Knowledge Unlearning. - Zesheng Shi; Yucheng Zhou 001; Jing Li 034; Yuxin Jin; Yu Li 007; Daojing He; Fangming Liu; Saleh Alharbi; Jun Yu; Min Zhang 005 (ACL (1), 2025)

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs. - Linbao Li; Yannan Liu; Daojing He; Yu Li 007 (ICLR, 2025)

SWA-LDM: Toward Stealthy Watermarks for Latent Diffusion Models. - Zhonghao Yang 003; Linye Lyu; Xuanhang Chang; Daojing He; Yu Li 007 (CoRR, 2025)

Function-to-Style Guidance of LLMs for Code Translation. - Longhui Zhang; Bin Wang 004; Jiahao Wang; Xiaofeng Zhao; Min Zhang 005; Hao Yang 006; Meishan Zhang; Yu Li 007; Jing Li 034; Jun Yu; Min Zhang 005 (CoRR, 2025)