activity
20202026
most citedBackpropagation Clipping for Deep Learning with Differential Privacy

3 citations · 6 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CR2026

DP-VOXLET: Provable Speaker Anonymization for Disentangled Speech Representations

Ivoline Ngong, Jack D'Iorio, Hailey Schoppe +4

Systems for speaker anonymization obfuscate the speaker of an utterance, while maintaining its original semantic contents and prosody. Recent solutions for speaker anonymization re…

cs.CR2026

AgentSCOPE: Evaluating Contextual Privacy Across Agentic Workflows

Ivoline C. Ngong, Keerthiram Murugesan, Swanand Kadhe +3

Agentic systems are increasingly acting on users' behalf, accessing calendars, email, and personal files to complete everyday tasks. Privacy evaluation for these systems has focuse…

cs.CR2025

Distributed HDMM: Scalable, Distributed, Accurate, and Differentially Private Query Workloads without a Trusted Curator

Ratang Sedimo, Ivoline C. Ngong, Jami Lashua +1

We present the Distributed High-Dimensional Matrix Mechanism (Distributed HDMM), a protocol for answering workloads of linear queries on distributed data that provides the accuracy…

cs.CR2025

Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents

Ivoline Ngong, Swanand Kadhe, Hao Wang +4

Conversational agents are increasingly woven into individuals' personal lives, yet users often underestimate the privacy risks associated with them. The moment users share informat…

cs.CR2023

OLYMPIA: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols

Ivoline C. Ngong, Nicholas Gibson, Joseph P. Near

Recent secure aggregation protocols enable privacy-preserving federated learning for high-dimensional models among thousands or even millions of participants. Due to the scale of t…