A Smart Adversarial Attack on Deep Hashing Based Image Retrieval. - Junda Lu 001; Mingyang Chen; Yifang Sun; Wei Wang 011; Yi Wang 017; Xiaochun Yang 001 (ICMR, 2021)

DAIR: A Query-Efficient Decision-based Attack on Image Retrieval Systems. - Mingyang Chen; Junda Lu 001; Yi Wang 017; Jianbin Qin; Wei Wang 011 (SIGIR, 2021)

Unsupervised Domain Adaptation for Nonintrusive Load Monitoring Via Adversarial and Joint Adaptation Network. - Yinyan Liu; Li Zhong; Jing Qiu 001; Junda Lu 001; Wei Wang 011 (IEEE Trans. Ind. Informatics, 2022)

A Single-to-Multi Network for Latency-Free Non-Intrusive Load Monitoring. - Yinyan Liu; Jing Qiu 001; Junda Lu 001; Wei Wang 011; Jin Ma 001 (IEEE Trans. Netw. Sci. Eng., 2022)

Adversarial Attacks and Defences For Image Retrieval Systems. - Junda Lu 001 (2022)

Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation. - Bo Huang; Mingyang Chen; Yi Wang 017; Junda Lu 001; Minhao Cheng; Wei Wang 011 (CVPR, 2023)

Distance Maximization and Defences on Deep Hashing Based Image Retrieval. - Junda Lu 001; Yukai Miao; Mingyang Chen; Bo Huang; Bing Li 002; Wei Wang 011; Dinusha Vatsalan; Mohamed Ali Kâafar (ICKG, 2023)

Dataset Distillation via Adversarial Prediction Matching. - Mingyang Chen; Bo Huang; Junda Lu 001; Bing Li 002; Yi Wang 017; Minhao Cheng; Wei Wang 011 (CoRR, 2023)

On Adversarial Training with Incorrect Labels. - Benjamin Zi Hao Zhao; Junda Lu 001; Xiaowei Zhou 003; Dinusha Vatsalan; Muhammad Ikram 001; Mohamed Ali Kâafar (WISE (4), 2024)