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

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

16 October 2019

Wei-Lun Chao

Kilian Q. Weinberger

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

9 / 9 papers shown

Title
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Nils Philipp Walter Linara Adilova Jilles Vreeken Michael Kamp AAML 33 1 0 27 May 2024
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks Ruixiang Tang Gord Lueck Rodolfo Quispe Huseyin A. Inan Janardhan Kulkarni Xia Hu 13 6 0 20 Oct 2023
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman M. Prabhushankar Ghassan AlRegib 11 7 0 06 Apr 2023
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 20 234 0 01 Aug 2021
Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression Masanori Yamada Sekitoshi Kanai Tomoharu Iwata Tomokatsu Takahashi Yuki Yamanaka Hiroshi Takahashi Atsutoshi Kumagai AAML 8 8 0 05 Feb 2021
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel A. Madry AAML 29 819 0 19 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,102 0 04 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015