Publications

E. Mushtaq, D. N. Yaldiz, Y. Bakman, J. Ding, C. Tao, D. Dimitriadis, S. Avestimehr, “CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning”, ECCV, 2024.

Y.Bakman, D. N. Yaldiz, B. Buyukates, C. Tao, D. Dimitriadis, S. Avestimehr, “MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs”, ACL, 2024.

D. N. Yaldiz*, Y.Bakman*, Y. Ezzeldin, S. Avestimehr, “Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning”, ICLR, 2024.

D. N. Yaldiz, T.Zhang, S. Avestimehr, “Secure Federated Learning against Model Poisoning Attacks via Client Filtering”, ICLR Workshop on Backdoor Attacks and Defenses in Machine Learning, 2023.