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20092024
most citedOn the Opportunities and Risks of Foundation Models

2.3k citations · 4.7k across the 64 of their papers we have counts for

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Showing cs.CRShow all

5 papers · 1 filter

cs.CR2023★ 27 cited

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks

Daniel Kang, Xuechen Li, Ion Stoica +3

Recent advances in instruction-following large language models (LLMs) have led to dramatic improvements in a range of NLP tasks. Unfortunately, we find that the same improved capab…

cs.CR2022★ 2 cited

Extricating IoT Devices from Vendor Infrastructure with Karl

Gina Yuan, David Mazières, Matei Zaharia

Most consumer IoT devices are vertically integrated with cloud-side infrastructure. Such architectures present enormous risk to user data, exacerbated by vendor heterogeneity and t…

cs.CR2020★ 9 cited

Overlook: Differentially Private Exploratory Visualization for Big Data

Pratiksha Thaker, Mihai Budiu, Parikshit Gopalan +2

Data exploration systems that provide differential privacy must manage a privacy budget that measures the amount of privacy lost across multiple queries. One effective strategy to…

cs.CR2019★ 30 cited

Express: Lowering the Cost of Metadata-hiding Communication with Cryptographic Privacy

Saba Eskandarian, Henry Corrigan-Gibbs, Matei Zaharia +1

Existing systems for metadata-hiding messaging that provide cryptographic privacy properties have either high communication costs, high computation costs, or both. In this paper, w…

cs.CR2017★ 15 cited

ObliDB: Oblivious Query Processing for Secure Databases

Saba Eskandarian, Matei Zaharia

Hardware enclaves such as Intel SGX are a promising technology for improving the security of databases outsourced to the cloud. These enclaves provide an execution environment isol…