44 citations · 59 across the 5 of their papers we have counts for
7 papers
Engineering Robustness into Personal Agents with the AI Workflow Store
Roxana Geambasu, Mariana Raykova, Pierre Tholoniat +3
The dominant paradigm for AI agents is an "on-the-fly" loop in which agents synthesize plans and execute actions within seconds or minutes in response to user prompts. We argue tha…
A Risk Assessment Framework for Digital Identification Systems
Allison Woodruff, Dirk Balfanz, Will Drewry +1
We introduce a risk assessment framework for digital identification systems, as well as recommended best practices to enhance privacy, security, and other desirable properties in t…
Provably Robust Watermarks for Open-Source Language Models
Miranda Christ, Sam Gunn, Tal Malkin +1
The recent explosion of high-quality language models has necessitated new methods for identifying AI-generated text. Watermarking is a leading solution and could prove to be an ess…
UN Handbook on Privacy-Preserving Computation Techniques
David W. Archer, Borja de Balle Pigem, Dan Bogdanov +10
This paper describes privacy-preserving approaches for the statistical analysis. It describes motivations for privacy-preserving approaches for the statistical analysis of sensitiv…
Think Global, Act Local: Gossip and Client Audits in Verifiable Data Structures
Sarah Meiklejohn, Pavel Kalinnikov, Cindy S. Lin +4
In recent years, there has been increasing recognition of the benefits of having services provide auditable logs of data, as demonstrated by the deployment of Certificate Transpare…
Advances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan, Brendan Avent +56
Federated learning (FL) is a machine learning setting where many clients (e.g. mobile devices or whole organizations) collaboratively train a model under the orchestration of a cen…
Secure Computation for Machine Learning With SPDZ
Valerie Chen, Valerio Pastro, Mariana Raykova
Secure Multi-Party Computation (MPC) is an area of cryptography that enables computation on sensitive data from multiple sources while maintaining privacy guarantees. However, theo…