Revisiting the Provable-Auditable Privacy Gap of DP-SGD

arXiv:2608.28934 · cs.LG · Submitted 2026-08-28 · Read on arXiv

cs.LG

Submitted: 2026-08-28

Updated: 2026-08-28

Comments: The code for this paper can be found here: https://github.com/pineappleEnthusiast/empirical-privacy-defense

Code: https://github.com/pineappleEnthusiast/empirical-privacy-defense

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 1× in this paper · explained in 2 episodes
• Differential Privacy — 1× in this paper · explained in 4 episodes
• Differential Privacy (DP) — 1× in this paper · explained in 7 episodes

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks