649 citations
- Carnegie Mellon UniversityUS23 papers
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7 papers · 1 filter
The Privacy-preserving Padding Problem: Non-negative Mechanisms for Conservative Answers with Differential Privacy
Benjamin M. Case, James Honaker, Mahnush Movahedi
Differentially private noise mechanisms commonly use symmetric noise distributions. This is attractive both for achieving the differential privacy definition, and for unbiased expe…
Bit-efficient Numerical Aggregation and Stronger Privacy for Trust in Federated Analytics
Graham Cormode, Igor L. Markov
Private data generated by edge devices -- from smart phones to automotive electronics -- are highly informative when aggregated but can be damaging when mishandled. A variety of so…
Shard Scheduler: object placement and migration in sharded account-based blockchains
Michał Król, Onur Ascigil, Sergi Rene +3
We propose Shard Scheduler, a system for object placement and migration in account-based sharded blockchains. Our system calculates optimal placement and decides of object migratio…
Recovering AES Keys with a Deep Cold Boot Attack
Itamar Zimerman, Eliya Nachmani, Lior Wolf
Cold boot attacks inspect the corrupted random access memory soon after the power has been shut down. While most of the bits have been corrupted, many bits, at random locations, ha…
Enabling Inference Privacy with Adaptive Noise Injection
Sanjay Kariyappa, Ousmane Dia, Moinuddin K Qureshi
User-facing software services are becoming increasingly reliant on remote servers to host Deep Neural Network (DNN) models, which perform inference tasks for the clients. Such serv…
Deepfake Videos in the Wild: Analysis and Detection
Jiameng Pu, Neal Mangaokar, Lauren Kelly +5
AI-manipulated videos, commonly known as deepfakes, are an emerging problem. Recently, researchers in academia and industry have contributed several (self-created) benchmark deepfa…