activity
20092023
most citedTargeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

1k citations · 10.8k across the 111 of their papers we have counts for

collaborators

113 papers

cs.CR2023★ 4 cited

SoK: Privacy-Preserving Data Synthesis

Yuzheng Hu, Fan Wu, Qinbin Li +7

As the prevalence of data analysis grows, safeguarding data privacy has become a paramount concern. Consequently, there has been an upsurge in the development of mechanisms aimed a…

cs.AI2023★ 55 cited

Identifying and Mitigating the Security Risks of Generative AI

Clark Barrett, Brad Boyd, Elie Burzstein +20

Every major technical invention resurfaces the dual-use dilemma -- the new technology has the potential to be used for good as well as for harm. Generative AI (GenAI) techniques, s…

cs.CR2023

Parallel and Asynchronous Smart Contract Execution

Jian Liu, Peilun Li, Raymond~Cheng +2

Today's blockchains suffer from low throughput and high latency, which impedes their widespread adoption of more complex applications like smart contracts. In this paper, we propos…

cs.CL2023★ 62 cited

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Boxin Wang, Weixin Chen, Hengzhi Pei +16

Generative Pre-trained Transformer (GPT) models have exhibited exciting progress in their capabilities, capturing the interest of practitioners and the public alike. Yet, while the…

stat.ML2023

A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms"

Jiachen T. Wang, Ruoxi Jia

Data valuation is a growing research field that studies the influence of individual data points for machine learning (ML) models. Data Shapley, inspired by cooperative game theory…

cs.LG2023★ 1 cited

TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets

Weixin Chen, Dawn Song, Bo Li

Diffusion models have achieved great success in a range of tasks, such as image synthesis and molecule design. As such successes hinge on large-scale training data collected from d…