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papers

Publications (18)

cs.CR2019

A critique of the DeepSec Platform for Security Analysis of Deep Learning Models

Nicholas Carlini

cs.CR2019

Stateful Detection of Black-Box Adversarial Attacks

Steven Chen, Nicholas Carlini, David Wagner

cs.LG2019

Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness

Jörn-Henrik Jacobsen, Jens Behrmannn, Nicholas Carlini +2

cs.LG2017

Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong

Warren He, James Wei, Xinyun Chen +2

cs.LG2019

Is AmI (Attacks Meet Interpretability) Robust to Adversarial Examples?

Nicholas Carlini

stat.ML2018

Unrestricted Adversarial Examples

Tom B. Brown, Nicholas Carlini, Chiyuan Zhang +3

cs.CR2016

Defensive Distillation is Not Robust to Adversarial Examples

Nicholas Carlini, David Wagner

eess.AS2019

Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition

Yao Qin, Nicholas Carlini, Ian Goodfellow +2

cs.LG2017

MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples

Nicholas Carlini, David Wagner

cs.LG2018

Audio Adversarial Examples: Targeted Attacks on Speech-to-Text

Nicholas Carlini, David Wagner

cs.LG2018

Provably Minimally-Distorted Adversarial Examples

Nicholas Carlini, Guy Katz, Clark Barrett +1

cs.CV2018

On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses

Anish Athalye, Nicholas Carlini

cs.CR2017

Towards Evaluating the Robustness of Neural Networks

Nicholas Carlini, David Wagner

cs.LG2018

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Nicolas Papernot, Fartash Faghri, Nicholas Carlini +23

cs.LG2019

On Evaluating Adversarial Robustness

Nicholas Carlini, Anish Athalye, Nicolas Papernot +6

cs.LG2018

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

Anish Athalye, Nicholas Carlini, David Wagner

cs.LG2017

Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods

Nicholas Carlini, David Wagner

cs.LG2019

The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

Nicholas Carlini, Chang Liu, Úlfar Erlingsson +2