92 citations · 211 across the 21 of their papers we have counts for
5 papers · 1 filter
KNOX: Hardware-assisted Regulatory Sandbox for Generative Models
Vasisht Duddu, Adam Caulfield, Xi He
Regulations require companies to run AI models in a regulatory sandbox, an isolated environment that enables monitoring model behavior by regulators, prior to deployment. But, they…
Trusted Model Environment for Private Semantic Computations
Vasisht Duddu, Xi He
A private semantic computation primitive enables parties to privately compute over structured and unstructured data that requires understanding its semantics, context, and relation…
"People can change, and patterns can be broken": Contextualizing Tradeoffs in Automated Decision-Making Systems
Rabeya Bosri, Anna Harbluk Lorimer, Afrida Hossain +2
Automated decision-making (ADM) systems are increasingly deployed in domains such as mortgage lending, prison sentencing, health insurance coverage, and hiring. Designing a respons…
SoK: Colluding Adversaries in Machine Learning Pipelines
Vasisht Duddu, Lipeng He, Asim Waheed +1
Machine learning (ML) models are susceptible to various security, privacy, and fairness risks. Adversaries with different characteristics (i.e., objectives, knowledge, and capabili…
PAL*M: Property Attestation for Large Generative Models
Prach Chantasantitam, Adam Ilyas Caulfield, Vasisht Duddu +2
Machine learning property attestations allow provers (e.g., model providers or owners) to attest properties of their models/datasets to verifiers (e.g., regulators, customers), ena…