A Research Agenda: Dynamic Models to Defend Against Correlated Attacks

14 March 2019

Papers citing "A Research Agenda: Dynamic Models to Defend Against Correlated Attacks"

7 / 7 papers shown

Title
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Yue Liu P. Varshney D. Song AAML 94 47 0 16 Mar 2020
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 58 894 0 18 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 92 2,018 0 08 Feb 2019
Defense Against the Dark Arts: An overview of adversarial example security research and future research directions Ian Goodfellow SILM 30 36 0 11 Jun 2018
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 96 1,851 0 20 May 2017
Detecting Adversarial Samples from Artifacts Reuben Feinman Ryan R. Curtin S. Shintre Andrew B. Gardner AAML 67 892 0 01 Mar 2017
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu D. Song AAML 105 1,727 0 08 Nov 2016