7th ACM Workshop on Artificial Intelligence and Security
with the 21st ACM Conference on Computer and Communications (CCS) November 7, 2014, The Scottsdale Plaza Resort, Scottsdale, Arizona, USA.
Session 1: Privacy, Learning and Security - Part I (10:00 - 10:30) (chair Benjamin Rubinstein)
Andrew Newell, Rahul Potharaju, Luojie Xiang and Cristina Nita-Rotaru, On the Practicality of Integrity Attacks on Document-Level Sentiment Analysis
Coffee Break (10:30 - 11:00)
Session 2: Privacy, Learning and Security - Part II (11:00 - 12:30) (chair Rachel Greenstadt)
Sadia Afroz, Rekha Bachwani, Edwin Dauber, Ling Huang, Anthony Joseph, Alex Kantchelian, Brad Miller, Michael Carl Tschantz and J. D. Tygar, Adversarial Active Learning
Francesco Alda and Hans Simon, Randomized Response Schemes, Privacy and Usefulness
Battista Biggio, Konrad Rieck, Davide Ariu, Christian Wressnegger, Igino Corona, Giorgio Giacinto and Fabio Roli, Poisoning Behavioral Malware Clustering
Sebastian Abt and Harald Baier, A Plea for Utilising Synthetic Data when Performing Machine Learning Based Cyber-Security Experiments
Igino Corona, Davide Maiorca, Davide Ariu and Giorgio Giacinto, Lux0R: Detection of Malicious PDF-embedded JavaScript code through Discriminant Analysis of API References
Pratyusa K Manadhata, Sandeep Yadav, Prasad Rao and William Horne, Detecting Malicious Domains via Graph Inference
Sean Whalen, Nathaniel Boggs and Sal Stolfo, Model Aggregation for Distributed Content Anomaly Detection
Xiang Junlong, Magnus Westerlund, Dušan Sovilj and Göran Pulkkis, Using Extreme Learning Machine for Intrusion Detection in a Big Data Environment