most citedMagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples

140 citations · 197 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2017140 cited

MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples

Nicholas Carlini, David Wagner

MagNet and "Efficient Defenses..." were recently proposed as a defense to adversarial examples. We find that we can construct adversarial examples that defeat these defenses with o…

cs.LG2017

Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods

Nicholas Carlini, David Wagner

Neural networks are known to be vulnerable to adversarial examples: inputs that are close to natural inputs but classified incorrectly. In order to better understand the space of a…

cs.CR20176 cited

The Feasibility of Dynamically Granted Permissions: Aligning Mobile Privacy with User Preferences

Primal Wijesekera, Arjun Baokar, Lynn Tsai +4

Current smartphone operating systems regulate application permissions by prompting users on an ask-on-first-use basis. Prior research has shown that this method is ineffective beca…

cs.CY201512 cited

Risk Perceptions for Wearable Devices

Linda Lee, Serge Egelman, Joong Hwa Lee +1

Wearable devices, or "wearables," bring great benefits but also potential risks that could expose users' activities with- out their awareness or consent. In this paper, we report f…

cs.CR201539 cited

Android Permissions Remystified: A Field Study on Contextual Integrity

Primal Wijesekera, Arjun Baokar, Ashkan Hosseini +3

Due to the amount of data that smartphone applications can potentially access, platforms enforce permission systems that allow users to regulate how applications access protected r…