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Adversarial Defense

41 papers with code · Adversarial

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Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

3 Oct 2016openai/cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

ADVERSARIAL ATTACK ADVERSARIAL DEFENSE

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

ICML 2018 anishathalye/obfuscated-gradients

We identify obfuscated gradients, a kind of gradient masking, as a phenomenon that leads to a false sense of security in defenses against adversarial examples.

ADVERSARIAL ATTACK ADVERSARIAL DEFENSE

Feature Denoising for Improving Adversarial Robustness

CVPR 2019 facebookresearch/ImageNet-Adversarial-Training

This study suggests that adversarial perturbations on images lead to noise in the features constructed by these networks.

ADVERSARIAL DEFENSE IMAGE CLASSIFICATION

Countering Adversarial Images using Input Transformations

ICLR 2018 facebookresearch/adversarial_image_defenses

This paper investigates strategies that defend against adversarial-example attacks on image-classification systems by transforming the inputs before feeding them to the system.

ADVERSARIAL DEFENSE IMAGE CLASSIFICATION

advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch

20 Feb 2019BorealisAI/advertorch

advertorch is a toolbox for adversarial robustness research.

 SOTA for Adversarial Attack on 1B Words (using extra training data)

ADVERSARIAL ATTACK ADVERSARIAL DEFENSE

Towards Deep Learning Models Resistant to Adversarial Attacks

ICLR 2018 MadryLab/mnist_challenge

Its principled nature also enables us to identify methods for both training and attacking neural networks that are reliable and, in a certain sense, universal.

ADVERSARIAL DEFENSE

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

ICLR 2019 hendrycks/robustness

Then we propose a new dataset called ImageNet-P which enables researchers to benchmark a classifier's robustness to common perturbations.

ADVERSARIAL DEFENSE

On Evaluating Adversarial Robustness

18 Feb 2019evaluating-adversarial-robustness/adv-eval-paper

Correctly evaluating defenses against adversarial examples has proven to be extremely difficult.

ADVERSARIAL ATTACK ADVERSARIAL DEFENSE

Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser

CVPR 2018 lfz/Guided-Denoise

First, with HGD as a defense, the target model is more robust to either white-box or black-box adversarial attacks.

ADVERSARIAL ATTACK ADVERSARIAL DEFENSE IMAGE CLASSIFICATION

A Provable Defense for Deep Residual Networks

29 Mar 2019eth-sri/diffai

We present a training system, which can provably defend significantly larger neural networks than previously possible, including ResNet-34 and DenseNet-100.

ADVERSARIAL DEFENSE