張景鋒 (Jingfeng Zhang) - マイポータル

基本情報

所属: 特定国立研究開発法人理化学研究所革新知能統合研究センター
: オークランド大学コンピュータ科学講師

連絡先: jingfeng.zhang9660gmail.com
研究者番号: 40909389
ORCID iD: https://orcid.org/0000-0003-3491-8074
J-GLOBAL ID: 202101003366271204
researchmap会員ID: R000026563

外部リンク: https://zjfheart.github.io

研究分野

情報通信 / 情報セキュリティ / Trustworthy machine learning

学歴

2016年8月 - 2020年12月

National University of Singapore, PhD in Computer Science

論文

Accurate Forgetting for Heterogeneous Federated Continual Learning.

Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han 0003, Gang Niu 0001, Lei Fang, Changshui Zhang, Masashi Sugiyama

CoRR abs/2502.14205 2025年2月
Safety at Scale: A Comprehensive Survey of Large Model Safety.

Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao …

CoRR abs/2502.05206 2025年2月
Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety.

Xingjun Ma, Yifeng Gao 0002, Yixu Wang, Ruofan Wang, Xin Wang 0119, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhao Zhao …

Foundations and Trends in Privacy and Security 8(3-4) 254-469 2025年
On the Effectiveness of Adversarial Training Against Backdoor Attacks.

Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu 0001, Masashi Sugiyama

IEEE Transactions on Neural Networks and Learning Systems 35(10) 14878-14888 2024年10月
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-Noise Learning.

Jingfeng Zhang, Bo Song, Haohan Wang, Bo Han 0003, Tongliang Liu, Lei Liu 0003, Masashi Sugiyama

IEEE Transactions on Pattern Analysis and Machine Intelligence 46(6) 4398-4409 2024年6月
Balancing Similarity and Complementarity for Federated Learning.

Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han 0003, Gang Niu 0001, Masashi Sugiyama, Changshui Zhang

CoRR abs/2405.09892 2024年
Balancing Similarity and Complementarity for Federated Learning.

Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han 0003, Gang Niu 0001, Masashi Sugiyama, Changshui Zhang

Forty-first International Conference on Machine Learning(ICML) 2024年
Accurate Forgetting for Heterogeneous Federated Continual Learning.

Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han 0003, Gang Niu 0001, Lei Fang, Changshui Zhang, Masashi Sugiyama

The Twelfth International Conference on Learning Representations(ICLR) 2024年
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection.

Xilie Xu, Jingfeng Zhang, Feng Liu 0003, Masashi Sugiyama, Mohan S. Kankanhalli

Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023(NeurIPS) 2023年
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization.

Xilie Xu, Jingfeng Zhang, Feng Liu 0003, Masashi Sugiyama, Mohan S. Kankanhalli

Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023(NeurIPS) 2023年
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks.

Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon

International Conference on Machine Learning(ICML) 11255-11282 2023年
Decision Boundary-Aware Data Augmentation for Adversarial Training.

Chen Chen 0043, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen 0001, Tianlei Hu, Gang Chen 0001

IEEE Trans. Dependable Secur. Comput. 20(3) 1882-1894 2023年
Adversarial Attacks and Defense for Non-Parametric Two-Sample Tests.

Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli

CoRR abs/2202.03077 2022年
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness.

Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han 0003, Masashi Sugiyama, Changshui Zhang

NeurIPS 2022年
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks.

Jianan Zhou 0002, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu 0001, Bo Han 0003, Masashi Sugiyama

NeurIPS 2022年
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks.

Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu 0001, Bo Han 0003, Masashi Sugiyama

CoRR abs/2211.00269 2022年
Bilateral Dependency Optimization: Defending Against Model-inversion Attacks.

Xiong Peng, Feng Liu, Jingfeng Zhang, Long Lan, Junjie Ye, Tongliang Liu, Bo Han 0003

KDD 1358-1367 2022年
Reliable Adversarial Distillation with Unreliable Teachers.

Jianing Zhu, Jiangchao Yao, Bo Han 0003, Jingfeng Zhang, Tongliang Liu, Gang Niu 0001, Jingren Zhou, Jianliang Xu, Hongxia Yang

ICLR 2022年
Towards Adversarially Robust Deep Image Denoising.

Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan

IJCAI 1516-1522 2022年
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests.

Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli

ICML 24743-24769 2022年

もっとみる

MISC

BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning

Jingfeng Zhang, Bo Song, Haohan Wang, Bo Han, Tongliang Liu, Lei Liu, Masashi Sugiyama

CoRR abs/2305.18377 2023年5月28日
Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks

Jingfeng Zhang, Bo Song, Bo Han, Lei Liu, Gang Niu, Masashi Sugiyama

CoRR abs/2305.00399 2023年4月30日
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization

Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan Kankanhalli

CoRR abs/2305.00374 2023年4月30日
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection

Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan Kankanhalli

CoRR abs/2302.03857 2023年2月8日
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks

Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon

CoRR abs/2302.02907 2023年2月6日
FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods

Lichen Jia, Bowen Tang, Chenggang Wu, Zhe Wang, Zihan Jiang, Yuanming Lai, Yan Kang, Ning Liu, Jingfeng Zhang

CoRR abs/2208.14191 2022年8月26日
Accelerating Score-based Generative Models for High-Resolution Image Synthesis

Hengyuan Ma, Li Zhang, Xiatian Zhu, Jingfeng Zhang, Jianfeng Feng

CoRR abs/2206.04029 2022年6月8日
WaveFuzz: A Clean-Label Poisoning Attack to Protect Your Voice

Yunjie Ge, Qian Wang, Jingfeng Zhang, Juntao Zhou, Yunzhu Zhang, Chao Shen

CoRR abs/2203.13497 2022年3月25日
NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels

Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Gang Niu, Lizhen Cui, Masashi Sugiyama

Trans. Mach. Learn. Res. 2022 2021年5月31日
Guided Interpolation for Adversarial Training

Chen Chen, Jingfeng Zhang, Xilie Xu, Tianlei Hu, Gang Niu, Gang Chen, Masashi Sugiyama

CoRR abs/2102.07327 2021年2月15日
Where is the Bottleneck of Adversarial Learning with Unlabeled Data?

Jingfeng Zhang, Bo Han, Gang Niu, Tongliang Liu, Masashi Sugiyama

CoRR abs/1911.08696 2019年11月20日
Smooth Inter-layer Propagation of Stabilized Neural Networks for Classification

Jingfeng Zhang, Laura Wynter

CoRR abs/1809.10315 2018年9月27日

張景鋒

基本情報

研究分野

学歴

論文

MISC

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