57 citations · 103 across the 16 of their papers we have counts for
3 papers · 1 filter
Combining Machine Learning Defenses without Conflicts
Vasisht Duddu, Rui Zhang, N. Asokan
Machine learning (ML) defenses protect against various risks to security, privacy, and fairness. Real-life models need simultaneous protection against multiple different risks whic…
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations
Vasisht Duddu, Oskari Järvinen, Lachlan J Gunn +1
Regulations increasingly call for various assurances from machine learning (ML) model providers about their training data, training process, and model behavior. For better transpar…
Espresso: Robust Concept Filtering in Text-to-Image Models
Anudeep Das, Vasisht Duddu, Rui Zhang +1
Diffusion based text-to-image models are trained on large datasets scraped from the Internet, potentially containing unacceptable concepts (e.g., copyright-infringing or unsafe). W…