convex learning 1differential privacy 1privacy-utility tradeoff 1reconstruction attacks 1vector embeddings 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CR2026
Ball Differential Privacy: How to Mitigate Data Reconstruction with Less Noise
Joseph Margaryan, Nirupam Gupta
The paper introduces Ball-DP, a variant of differential privacy that limits indistinguishability to records within a bounded radius in embedding space, allowing less noise and high…
cs.LG2026
Compact Circulant Layers with Spectral Priors
Joseph Margaryan, Thomas Hamelryck
Critical applications in areas such as medicine, robotics and autonomous systems require compact (i.e., memory efficient), uncertainty-aware neural networks suitable for edge and o…