Publications

A collection of my research work.

Perceptual Alignment Reveals Vulnerability in Unlearned Diffusion Models

Jing Wu, Trung Le, Mingyi Zhou, Dinh Phung, Jianfei Cai, Mehrtash Harandi

34th ACM International Conference on Multimedia (ACM MM 2026) 2026

pH-Strips for Selective Forgetting: A Blunt but Fast Diagnostic Baseline for Machine Unlearning

Chengyao Qian, Jing Wu†, Trung Le, Dinh Phung, Mehrtash Harandi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026) 2026

Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence

Quoc Minh Nguyen, Trung Le, Jing Wu, Anh Tuan Bui, Mehrtash Harandi

International Conference on Representation Learning (ICLR 2026) 2026

DIET: Machine Unlearning on a Data-Diet

Nilakshan Kunananthaseelan, Jing Wu, Le Trung, Gholamreza Haffari, Mehrtash Harandi

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2026) 2026

Oral Presentation

MUNBa: Machine Unlearning via Nash Bargaining

Jing Wu, Mehrtash Harandi

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2025) 2025

Code

Erasediff: Erasing data influence in diffusion models

Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025) 2025

Code

Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks

Jing Wu, Mehrtash Harandi

18th European Conference on Computer Vision (ECCV 2024) 2024

DOICode

Concealing Sensitive Samples against Gradient Leakage in Federated Learning

Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2024) 2024

Code

Analyzing the pregnancy status of giant pandas with hierarchical behavioral information

Xianggang Li, Jing Wu, Rong Hou, Zhangyu Zhou, Chang Duan, Peng Liu, Mengnan He, Yingjie Zhou, Peng Chen, Ce Zhu

Expert Systems with Applications 2024

DOI

Investigating White-Box Attacks for On-Device Models

Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li

Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (ICSE 2024) 2024

DOICode

ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems

Mingyi Zhou, Xiang Gao, Jing Wu, John Grundy, Xiao Chen, Chunyang Chen, Li Li

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2023) 2023

DOICode

A survey on universal adversarial attack

Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021) 2021

DaST: Data-Free Substitute Training for Adversarial Attacks

Mingyi Zhou, Jing Wu, Yipeng Liu, Shuaicheng Liu, Ce Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020) 2020

Oral Presentation

DOICode