Disrupting Image-Translation-Based DeepFake Algorithms with Adversarial Attacks. - Chin-Yuan Yeh; Hsi-Wen Chen; Shang-Lun Tsai; Shang-De Wang (WACV Workshops, 2020)

Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial Attack. - Chin-Yuan Yeh; Hsi-Wen Chen; Hong-Han Shuai; De-Nian Yang; Ming-Syan Chen (ICCV, 2021)

Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting. - Chin-Yuan Yeh; Hsi-Wen Chen; De-Nian Yang; Wang-Chien Lee; Philip S. Yu; Ming-Syan Chen (ICDE, 2023)

FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting. - Shu-Ling Cheng; Chin-Yuan Yeh; Ting-An Chen; Eliana Pastor; Ming-Syan Chen (AAAI, 2024)

BiLEE: Bi-Level Early Exiting for Generative Document Retrieval. - Rui Fang 002; Chin-Yuan Yeh; Hsi-Wen Chen; Ming-Syan Chen (ECAI, 2024)

Does Audio Deepfake Detection Rely on Artifacts? - Tsu-Hsien Shih; Chin-Yuan Yeh; Ming-Syan Chen (ICASSP, 2024)

In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection under Rebalanced Deepfake Detection Protocol. - Wei-Han Wang; Chin-Yuan Yeh; Hsi-Wen Chen; De-Nian Yang; Ming-Syan Chen (CoRR, 2024)

Evaluating Adversarial Robustness in the Spatial Frequency Domain. - Keng-Hsin Liao; Chin-Yuan Yeh; Hsi-Wen Chen; Ming-Syan Chen (CoRR, 2024)

Self-guided Knowledgeable Network of Thoughts: Amplifying Reasoning with Large Language Models. - Chao-Chi Chen; Chin-Yuan Yeh; Hsi-Wen Chen; De-Nian Yang; Ming-Syan Chen (CoRR, 2024)