Domain Generalization via Adversarially Learned Novel Domains. - Yu Zhe; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (IEEE Access, 2022)

Adversarial Attacks on Hidden Tasks in Multi-Task Learning. - Yu Zhe; Rei Nagaike; Daiki Nishiyama; Kazuto Fukuchi; Jun Sakuma (CoRR, 2024)

Zero-shot domain adaptation based on dual-level mix and contrast. - Yu Zhe; Jun Sakuma (CoRR, 2024)

Parameter Matching Attack: Enhancing Practical Applicability of Availability Attacks. - Yu Zhe; Jun Sakuma (CoRR, 2024)

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors. - Chia-Yi Hsu; Yu-Lin Tsai; Yu Zhe; Yan-Lun Chen; Chih-Hsun Lin; Chia-Mu Yu; Yang Zhang; Chun-Ying Huang; Jun Sakuma (CoRR, 2025)

Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy. - Junhao Wei; Yu Zhe; Jun Sakuma (CoRR, 2025)