Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception

5 June 2023

Papers citing "Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception"

8 / 8 papers shown

Title
Tracking objects that change in appearance with phase synchrony Sabine Muzellec Drew Linsley A. Ashok E. Mingolla Girik Malik Rufin VanRullen Thomas Serre 31 1 0 02 Oct 2024
The 3D-PC: a benchmark for visual perspective taking in humans and machines Drew Linsley Peisen Zhou A. Ashok Akash Nagaraj Gaurav Gaonkar Francis E Lewis Zygmunt Pizlo Thomas Serre 48 6 0 06 Jun 2024
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Sachin Mehta Mohammad Rastegari ViT 218 1,213 0 05 Oct 2021
Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity Thomas A. Langlois H. C. Zhao Erin Grant Ishita Dasgupta Thomas L. Griffiths Nori Jacoby 47 15 0 14 Jul 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,489 0 23 Jan 2020
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 194 274 0 03 Dec 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,225 0 16 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 206 14,368 0 07 Oct 2016