193 citations · 244 across the 22 of their papers we have counts for
6 papers · 1 filter
Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022
James Holt, Edward Raff, Ahmad Ridley +7
The workshop will focus on the application of AI to problems in cyber security. Cyber systems generate large volumes of data, utilizing this effectively is beyond human capabilitie…
Two Can Play That Game: An Adversarial Evaluation of a Cyber-alert Inspection System
Ankit Shah, Arunesh Sinha, Rajesh Ganesan +2
Cyber-security is an important societal concern. Cyber-attacks have increased in numbers as well as in the extent of damage caused in every attack. Large organizations operate a Cy…
A Learning and Masking Approach to Secure Learning
Linh Nguyen, Sky Wang, Arunesh Sinha
Deep Neural Networks (DNNs) have been shown to be vulnerable against adversarial examples, which are data points cleverly constructed to fool the classifier. Such attacks can be de…
Towards the Science of Security and Privacy in Machine Learning
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha +1
Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such as data analytics, autonomous systems, and security diagnostics. ML is now perv…
Program Actions as Actual Causes: A Building Block for Accountability
Anupam Datta, Deepak Garg, Dilsun Kaynar +2
Protocols for tasks such as authentication, electronic voting, and secure multiparty computation ensure desirable security properties if agents follow their prescribed programs. Ho…
Programs as Actual Causes: A Building Block for Accountability
Anupam Datta, Deepak Garg, Dilsun Kaynar +2
An updated version of this paper is available at http://arxiv.org/abs/1505.01131