activity
20212026
most cited"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World

38 citations · 43 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Modeling Deletion Requests in Machine Unlearning

Christian Cianfarani, Aloni Cohen

Machine unlearning is seen as a promising approach to enable users to exercise the "right to erasure" in the context of AI models. We ask how users might influence the behavior of…

cs.LG2025

Adapting to Evolving Adversaries with Regularized Continual Robust Training

Sihui Dai, Christian Cianfarani, Arjun Bhagoji +2

Robust training methods typically defend against specific attack types, such as Lp attacks with fixed budgets, and rarely account for the fact that defenders may encounter new atta…

cs.CY2024

Understanding and Mitigating the Impacts of Differentially Private Census Data on State Level Redistricting

Christian Cianfarani, Aloni Cohen

Data from the Decennial Census is published only after applying a disclosure avoidance system (DAS). Data users were shaken by the adoption of differential privacy in the 2020 DAS,…

cs.LG2022★ 5 cited

Understanding Robust Learning through the Lens of Representation Similarities

Christian Cianfarani, Arjun Nitin Bhagoji, Vikash Sehwag +3

Representation learning, i.e. the generation of representations useful for downstream applications, is a task of fundamental importance that underlies much of the success of deep n…

cs.CR2021★ 38 cited

"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World

Emily Wenger, Max Bronckers, Christian Cianfarani +4

Advances in deep learning have introduced a new wave of voice synthesis tools, capable of producing audio that sounds as if spoken by a target speaker. If successful, such tools in…