4 papers
Transferable Adversarial Robustness for Speech Foundation Models via Hierarchical Stabilization
Aref Mousavi, Shahab Sherafat, Kiarash Kiani Feriz +4
Frozen speech foundation models (SFMs) make downstream adaptation efficient: the backbone can stay fixed while a task learns layer fusion and a lightweight classifier. Full adversa…
Geometry-Adaptive Mechanisms for Private Synthetic Data
Raoof Zare Moayedi, Amir R. Asadi, Mohammad Hossein Yassaee +1
Generating differentially private synthetic data with meaningful Wasserstein utility guarantees is challenging in high dimensions. For datasets of size \(n\) on with $d\g…
Visual Distribution Anchoring for Efficient Prompt Tuning
Pouya Parsa, Raoof Zare Moayedi, Seongjin Choi
Prompt tuning adapts vision--language models with few trainable parameters, but existing approaches trade off efficiency and adaptation: static textual prompts can overfit source c…
Where2Start: Leveraging initial States for Robust and Sample-Efficient Reinforcement Learning
Pouya Parsa, Raoof Zare Moayedi, Mohammad Bornosi +1
The reinforcement learning algorithms that focus on how to compute the gradient and choose next actions, are effectively improved the performance of the agents. However, these algo…