Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization

23 March 2018

Papers citing "Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization"

31 / 31 papers shown

Title
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 49 20 0 31 Dec 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 56 0 0 13 Mar 2024
Changing the Kernel During Training Leads to Double Descent in Kernel Regression Oskar Allerbo 19 0 0 03 Nov 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 36 0 0 21 Oct 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training Yechao Zhang Shengshan Hu Leo Yu Zhang Junyu Shi Minghui Li Xiaogeng Liu Wei Wan Hai Jin AAML 22 21 0 15 Jul 2023
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks Ferheen Ayaz Idris Zakariyya José Cano S. Keoh Jeremy Singer D. Pau Mounia Kharbouche-Harrari 19 5 0 25 Apr 2023
Fourier Sensitivity and Regularization of Computer Vision Models K. Krishnamachari See-Kiong Ng Chuan-Sheng Foo OOD 20 2 0 31 Jan 2023
An Adversarial Robustness Perspective on the Topology of Neural Networks Morgane Goibert Thomas Ricatte Elvis Dohmatob AAML 11 2 0 04 Nov 2022
Defending a Music Recommender Against Hubness-Based Adversarial Attacks Katharina Hoedt A. Flexer Gerhard Widmer AAML 14 3 0 24 May 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? Alvin Chan Yew-Soon Ong Clement Tan AAML 22 13 0 09 May 2022
Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization Zhengqi Gao Sucheng Ren Zihui Xue Siting Li Hang Zhao 19 3 0 05 Apr 2022
Improving Adversarial Robustness for Free with Snapshot Ensemble Yihao Wang AAML UQCV 9 1 0 07 Oct 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 27 4 0 16 Sep 2021
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations Ido Ben-Yair Gil Ben Shalom Moshe Eliasof Eran Treister MQ 16 5 0 31 Aug 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 24 65 0 09 Apr 2021
On the human-recognizability phenomenon of adversarially trained deep image classifiers Jonathan W. Helland Nathan M. VanHoudnos AAML 22 4 0 18 Dec 2020
DSRNA: Differentiable Search of Robust Neural Architectures Ramtin Hosseini Xingyi Yang P. Xie OOD AAML 21 50 0 11 Dec 2020
On 1/n neural representation and robustness Josue Nassar Piotr A. Sokól SueYeon Chung K. Harris Il Memming Park AAML OOD 11 23 0 08 Dec 2020
Explicit Regularisation in Gaussian Noise Injections A. Camuto M. Willetts Umut Simsekli Stephen J. Roberts Chris Holmes 15 55 0 14 Jul 2020
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders A. Camuto M. Willetts Stephen J. Roberts Chris Holmes Tom Rainforth AAML DRL 21 29 0 14 Jul 2020
Probabilistic Jacobian-based Saliency Maps Attacks Théo Combey António Loison Maxime Faucher H. Hajri AAML 16 19 0 12 Jul 2020
Learning Flat Latent Manifolds with VAEs Nutan Chen Alexej Klushyn Francesco Ferroni Justin Bayer Patrick van der Smagt DRL 14 39 0 12 Feb 2020
Playing it Safe: Adversarial Robustness with an Abstain Option Cassidy Laidlaw S. Feizi AAML 11 20 0 25 Nov 2019
Improving performance of deep learning models with axiomatic attribution priors and expected gradients G. Erion Joseph D. Janizek Pascal Sturmfels Scott M. Lundberg Su-In Lee OOD BDL FAtt 13 80 0 25 Jun 2019
Scaleable input gradient regularization for adversarial robustness Chris Finlay Adam M. Oberman AAML 8 77 0 27 May 2019
Minimal Achievable Sufficient Statistic Learning Milan Cvitkovic Günther Koliander 17 12 0 19 May 2019
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks Aamir Mustafa Salman Khan Munawar Hayat Roland Göcke Jianbing Shen Ling Shao AAML 9 151 0 01 Apr 2019
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks Kenneth T. Co Luis Muñoz-González Sixte de Maupeou Emil C. Lupu AAML 13 67 0 30 Sep 2018
Generalization Error in Deep Learning Daniel Jakubovitz Raja Giryes M. Rodrigues AI4CE 16 109 0 03 Aug 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 30 141 0 11 Jun 2018
Gradient Regularization Improves Accuracy of Discriminative Models D. Varga Adrián Csiszárik Zsolt Zombori 16 53 0 28 Dec 2017