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20112024
most citedA Berkeley View of Systems Challenges for AI

176 citations · 250 across the 13 of their papers we have counts for

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8 papers · 1 filter

cs.CR2022★ 8 cited

Reflections on trusting distributed trust

Emma Dauterman, Vivian Fang, Natacha Crooks +1

Many systems today distribute trust across multiple parties such that the system provides certain security properties if a subset of the parties are honest. In the past few years,…

cs.CR2020★ 16 cited

Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics

Rishabh Poddar, Sukrit Kalra, Avishay Yanai +3

Many organizations stand to benefit from pooling their data together in order to draw mutually beneficial insights -- e.g., for fraud detection across banks, better medical studies…

cs.CR2020★ 1 cited

Secure Collaborative Training and Inference for XGBoost

Andrew Law, Chester Leung, Rishabh Poddar +6

In recent years, gradient boosted decision tree learning has proven to be an effective method of training robust models. Moreover, collaborative learning among multiple parties has…

cs.CR2020

Practical Volume-Based Attacks on Encrypted Databases

Rishabh Poddar, Stephanie Wang, Jianan Lu +1

Recent years have seen an increased interest towards strong security primitives for encrypted databases (such as oblivious protocols), that hide the access patterns of query execut…

cs.CR2020★ 10 cited

Visor: Privacy-Preserving Video Analytics as a Cloud Service

Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty +2

Video-analytics-as-a-service is becoming an important offering for cloud providers. A key concern in such services is privacy of the videos being analyzed. While trusted execution…

cs.CR2019★ 1 cited

An Off-Chip Attack on Hardware Enclaves via the Memory Bus

Dayeol Lee, Dongha Jung, Ian T. Fang +2

This paper shows how an attacker can break the confidentiality of a hardware enclave with Membuster, an off-chip attack based on snooping the memory bus. An attacker with physical…