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Ben Nebgen

2 accepted papers

2025

LoRID: Low-Rank Iterative Diffusion for Adversarial Purification

AAAI 2025technical

This work presents an information-theoretic examination of diffusion-based purification methods, the state-of-the-art adversarial defenses that utilize diffusion models to remove malicious perturbations in adversarial examples. By theoretically characterizing the inherent purification errors associa…

Cited by 2SourcePDFScholar
2025

Topological Signatures of Adversaries in Multimodal Alignments

ICML 2025poster

Multimodal Machine Learning systems, particularly those aligning text and image data like CLIP/BLIP models, have become increasingly prevalent, yet remain susceptible to adversarial attacks. While substantial research has addressed adversarial robustness in unimodal contexts, defense strategies for…

Cited by 0SourcePDFScholar