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Adversarial Defense

46 papers with code · Adversarial

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Smoothed Inference for Adversarially-Trained Models

17 Nov 2019yanemcovsky/SIAM

We study randomized smoothing as a way to both improve performance on unperturbed data as well as increase robustness to adversarial attacks.

ADVERSARIAL DEFENSE

2
17 Nov 2019

A New Defense Against Adversarial Images: Turning a Weakness into a Strength

NeurIPS 2019 s-huu/TurningWeaknessIntoStrength

Natural images are virtually surrounded by low-density misclassified regions that can be efficiently discovered by gradient-guided search --- enabling the generation of adversarial images.

ADVERSARIAL DEFENSE

25
16 Oct 2019

Adversarial Defense via Learning to Generate Diverse Attacks

ICCV 2019 YunseokJANG/l2l-da

With the remarkable success of deep learning, Deep Neural Networks (DNNs) have been applied as dominant tools to various machine learning domains.

ADVERSARIAL DEFENSE

7
01 Oct 2019

Testing Robustness Against Unforeseen Adversaries

21 Aug 2019ddkang/advex-uar

We construct novel JPEG, Fog, Gabor, and Snow adversarial attacks to simulate unforeseen adversaries and perform a careful study of adversarial robustness against these and existing distortion types.

ADVERSARIAL DEFENSE

51
21 Aug 2019

Adversarial Defense by Suppressing High-frequency Components

19 Aug 2019zzd1992/Adversarial-Defense-by-Suppressing-High-Frequencies

Recent works show that deep neural networks trained on image classification dataset bias towards textures.

ADVERSARIAL DEFENSE IMAGE CLASSIFICATION

7
19 Aug 2019

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

NeurIPS 2019 Hadisalman/smoothing-adversarial

In this paper, we employ adversarial training to improve the performance of randomized smoothing.

ADVERSARIAL ATTACK ADVERSARIAL DEFENSE

134
09 Jun 2019

Adversarial Examples for Non-Parametric Methods: Attacks, Defenses and Large Sample Limits

7 Jun 2019yangarbiter/adversarial-nonparametrics

Adversarial examples have received a great deal of recent attention because of their potential to uncover security flaws in machine learning systems.

ADVERSARIAL ATTACK ADVERSARIAL DEFENSE

11
07 Jun 2019

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

CVPR 2019 jeromerony/fast_adversarial

Research on adversarial examples in computer vision tasks has shown that small, often imperceptible changes to an image can induce misclassification, which has security implications for a wide range of image processing systems.

ADVERSARIAL ATTACK ADVERSARIAL DEFENSE

98
01 Jun 2019

Scaleable input gradient regularization for adversarial robustness

27 May 2019cfinlay/tulip

In this work we revisit gradient regularization for adversarial robustness with some new ingredients.

ADVERSARIAL ATTACK ADVERSARIAL DEFENSE

14
27 May 2019

Enhancing Adversarial Defense by k-Winners-Take-All

25 May 2019a554b554/kWTA-Activation

In all cases, the robustness of k-WTA networks outperforms that of traditional networks under white-box attacks.

ADVERSARIAL DEFENSE

12
25 May 2019