Improving Neural Network Robustness via Persistency of Excitation

v1v2v3v4v5 (latest)

Improving Neural Network Robustness via Persistency of Excitation

3 June 2021

Kaustubh Sridhar

ArXiv (abs)PDF HTML

Papers citing "Improving Neural Network Robustness via Persistency of Excitation"

10 / 10 papers shown

Title
On adversarial training and the 1 Nearest Neighbor classifier Amir Hagai Yair Weiss AAML 86 0 0 09 Apr 2024
Memory-Consistent Neural Networks for Imitation Learning Kaustubh Sridhar Souradeep Dutta Dinesh Jayaraman James Weimer Insup Lee 88 9 0 09 Oct 2023
Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alexander Robey Fabian Latorre George J. Pappas Hamed Hassani Volkan Cevher AAML 158 13 0 19 Jun 2023
Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles Shengcai Liu Fu Peng Jiaheng Zhang AAML 67 11 0 23 Nov 2022
Robust Models are less Over-Confident Julia Grabinski Paul Gavrikov J. Keuper Margret Keuper AAML 80 25 0 12 Oct 2022
Attacking Adversarial Defences by Smoothing the Loss Landscape Panagiotis Eustratiadis Henry Gouk Da Li Timothy M. Hospedales AAML 73 4 0 01 Aug 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method Keiichiro Yamamura Haruki Sato Nariaki Tateiwa Nozomi Hata Toru Mitsutake Issa Oe Hiroki Ishikura Katsuki Fujisawa AAML 96 14 0 20 Jun 2022
Certifiable Robot Design Optimization using Differentiable Programming Charles Dawson Chuchu Fan 67 7 0 22 Apr 2022
Adversarial Robustness through the Lens of Convolutional Filters Paul Gavrikov J. Keuper 70 15 0 05 Apr 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters Paul Gavrikov J. Keuper AAML 105 31 0 29 Mar 2022