Jing Wu

21 papers A* 5A 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence.
CoRR
Quoc Minh Nguyen, Trung Le, Jing Wu, Anh Tuan Bui, Mehrtash Harandi
2026 A* conf
DIET: Machine Unlearning on a Data-Diet.
AAAI
Nilakshan Kunananthaseelan, Jing Wu, Trung Le, Gholamreza Haffari, Mehrtash Harandi
2025 A* conf
Erasing Undesirable Influence in Diffusion Models.
CVPR
Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi
2025 J jnl
IMU: Influence-guided Machine Unlearning.
CoRR
Xindi Fan, Jing Wu, Mingyi Zhou, Pengwei Liang, Dinh Phung
2024 J jnl
Analyzing the pregnancy status of giant pandas with hierarchical behavioral information.
Expert Syst. Appl.
Xianggang Li, Jing Wu, Rong Hou, Zhangyu Zhou, Chang Duan, Peng Liu, Mengnan He, Yingjie Zhou, Peng Chen, Ce Zhu
2024 A* conf
Concealing Sensitive Samples against Gradient Leakage in Federated Learning.
AAAI
Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi
2024 J jnl
EraseDiff: Erasing Data Influence in Diffusion Models.
CoRR
Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi
2024 A* conf
Investigating White-Box Attacks for On-Device Models.
ICSE
Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li
2024 J jnl
Investigating White-Box Attacks for On-Device Models.
CoRR
Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li
2024 J jnl
MUNBa: Machine Unlearning via Nash Bargaining.
CoRR
Jing Wu, Mehrtash Harandi
2024 — conf
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks.
ECCV (47)
Jing Wu, Mehrtash Harandi
2024 J jnl
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks.
CoRR
Jing Wu, Mehrtash Harandi
2023 A conf
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems.
ISSTA
Mingyi Zhou, Xiang Gao, Jing Wu, John C. Grundy, Xiao Chen, Chunyang Chen, Li Li
2023 J jnl
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems.
CoRR
Mingyi Zhou, Xiang Gao, Jing Wu, John Grundy, Xiao Chen, Chunyang Chen, Li Li
2022 J jnl
Defense against Privacy Leakage in Federated Learning.
CoRR
Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi
2021 J jnl
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions.
CoRR
Jing Wu, Mingyi Zhou, Ce Zhu, Yipeng Liu, Mehrtash Harandi, Li Li
2020 J jnl
Adversarial Imitation Attack.
CoRR
Mingyi Zhou, Jing Wu, Yipeng Liu, Xiaolin Huang, Shuaicheng Liu, Xiang Zhang, Ce Zhu
2020 A* conf
DaST: Data-Free Substitute Training for Adversarial Attacks.
CVPR
Mingyi Zhou, Jing Wu, Yipeng Liu, Shuaicheng Liu, Ce Zhu
2020 J jnl
DaST: Data-free Substitute Training for Adversarial Attacks.
CoRR
Mingyi Zhou, Jing Wu, Yipeng Liu, Shuaicheng Liu, Ce Zhu
2020 J jnl
Decision-based Universal Adversarial Attack.
CoRR
Jing Wu, Mingyi Zhou, Shuaicheng Liu, Yipeng Liu, Ce Zhu
2020 J jnl
ProbaNet: Proposal-balanced Network for Object Detection.
CoRR
Jing Wu, Xiang Zhang, Mingyi Zhou, Ce Zhu