← Search

Konstantinos Parasyris

2 accepted papers

2024

Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies

ICML 2024poster

This paper revisits the simple, long-studied, yet still unsolved problem of making image classifiers robust to imperceptible perturbations. Taking CIFAR10 as an example, SOTA clean accuracy is about $100$%, but SOTA robustness to $\ell_{\infty}$-norm bounded perturbations barely exceeds $70$%. To un…

2024

DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training

ICLR 2024poster

Zeroth-order (ZO) optimization has become a popular technique for solving machine learning (ML) problems when first-order (FO) information is difficult or impossible to obtain. However, the scalability of ZO optimization remains an open problem: Its use has primarily been limited to relatively small…