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Xinyun Chen

Researcher at University of California, Berkeley

Publications -  80
Citations -  5312

Xinyun Chen is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Computer science & Program synthesis. The author has an hindex of 21, co-authored 54 publications receiving 3177 citations.

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Proceedings Article

Delving into Transferable Adversarial Examples and Black-box Attacks

TL;DR: This work is the first to conduct an extensive study of the transferability over large models and a large scale dataset, and it is also theFirst to study the transferabilities of targeted adversarial examples with their target labels.
Posted Content

Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

TL;DR: This work considers a new type of attacks, called backdoor attacks, where the attacker's goal is to create a backdoor into a learning-based authentication system, so that he can easily circumvent the system by leveraging the backdoor.
Posted Content

Delving into Transferable Adversarial Examples and Black-box Attacks

TL;DR: In this paper, Xu et al. proposed novel ensemble-based approaches to generate transferable adversarial examples, and observed a large proportion of targeted adversarial instances that are able to transfer with their target labels for the first time.
Journal ArticleDOI

Competition-level code generation with AlphaCode

TL;DR: Yujia Li*, David Choi*, Junyoung Chung*, Nate Kushman*, Julian Schrittwieser*, Rémi Leblond*, Tom Eccles*, James Keeling*, Felix Gimeno*, Agustin Dal Lago*, Thomas Hubert*, Peter Choy*, Cyprien de Masson d’Autume*, Igor Babuschkin, Xinyun Chen