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, Ãlfar Erlingsson +2