3 papers
cs.CR2026
Landseer: Exploring the Machine Learning Defense Landscape
Ayushi Sharma, Rosemary Agbozo, Santiago Torres-Arias +1
Machine learning systems face diverse threats that undermine robustness, privacy, and fairness. Although many defenses have been proposed, each typically addresses a single risk in…
cs.CR2026
One RNG to Rule Them All: How Randomness Becomes an Attack Vector in Machine Learning
Kotekar Annapoorna Prabhu, Andrew Gan, Zahra Ghodsi
Machine learning relies on randomness as a fundamental component in various steps such as data sampling, data augmentation, weight initialization, and optimization. Most machine le…
cs.CR2025
Sentry: Authenticating Machine Learning Artifacts on the Fly
Andrew Gan, Zahra Ghodsi
Machine learning systems increasingly rely on open-source artifacts such as datasets and models that are created or hosted by other parties. The reliance on external datasets and p…