10th ACM Workshop on Artificial Intelligence and Security
with the 24th ACM Conference on Computer and Communications Security (CCS)
November 3, 2017
Hotel Sheraton Downtown Dallas, Dallas, TX, USA.

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Preliminary Program:

Time       TitleAuthors
8:50 - 9:00 Welcome Remarks Battista Biggio (University of Cagliari, Italy)
9:00 - 10:00 Beyond Big Data: What Can We Learn from AI Models? (Keynote) Aylin Caliskan (Princeton University, USA)
10:00 - 10:40 Coffee Break
Session 1 Deep Learning
(Chair: David Freeman, Facebook Inc., USA)
10:40 - 11:00 Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini and David Wagner (University of California, Berkeley, USA)
11:00 - 11:20 ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models Pin-Yu Chen (IBM, USA), Huan Zhang (University of California, Davis, USA), Yash Sharma (IBM, USA), Jinfeng Yi (IBM, USA), and Cho-Jui Hsieh (University of California, Davis, USA)
11:20 - 11:40 Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization Luis Muñoz-González (Imperial College London, UK), Battista Biggio (University of Cagliari, Italy), Ambra Demontis (University of Cagliari, Italy), Andrea Paudice (Imperial College London, UK), Vasin Wongrassamee (Imperial College London, UK), Emil C. Lupu (Imperial College London, UK), and Fabio Roli (University of Cagliari, Italy)
11:40 - 12:00 Efficient Defenses Against Adversarial Attacks Valentina Zantedeschi, Maria-Irina Nicolae, and Ambrish Rawat (IBM, Ireland)
12:00 - 13:30 Lunch
13:30 - 14:00 Lightning Round
Session 2 Authentication and Intrusion Detection
(Chair: Sam Bretheim, Craigslist Inc., USA)
14:00 - 14:20 Generating Look-alike Names For Security Challenges Shuchu Han (Stonybrook University, USA), Yifan Hu (Yahoo! Research, USA), Steven Skiena (Stonybrook University, USA), Baris Coskun (Amazon Web Services, USA), Meizhu Liu (Yahoo! Research, USA), Hong Qin (Stonybrook University, USA), and Jaime Perez (Yahoo! Research, USA)
14:20 - 14:40 In (Cyber)Space Bots Can Hear You Speak: Breaking Audio CAPTCHAs Using OTS Speech Recognition Saumya Solanki, Gautam Krishnan, Varshini Sampath, and Jason Polakis (University of Illinois at Chicago, USA)
14:40 - 15:00 Practical Machine Learning for Intrusion Detection for the Cloud: Challenges and the way forward Ram Shankar Siva Kumar, Andrew Wicker, and Matt Swann (Microsoft Inc., USA)
15:00 - 15:45 Coffee Break
Session 3a Defense Against Poisoning
(Chair: Luis Muñoz-González, Imperial College London, UK)
15:45 - 16:05 Robust Linear Regression Against Training Data Poisoning
(Best Paper Award)
Chang Liu and Bo Li (University of California, Berkeley, USA), Yevgeniy Vorobeychik (Vanderbilt University, USA), and Alina Oprea (Northeastern University, USA)
16:05 - 16:25 Mitigating Poisoning Attacks: Detecting Causative Attacks using Data Provenance Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, and Amir Safavi (IBM, USA)
Session 3b Malware
(Chair: Luis Muñoz-González, Imperial College London, UK)
16:25 - 16:45 Malware Classification and Class Imbalance via Stochastic Hashed LZJD Edward Raff (Booz Allen Hamilton, USA) and Charles Nicholas (University of Maryland, Baltimore County, USA)
16:45 - 17:05 Learning the PE Header, Malware Detection with Minimal Domain Knowledge Edward Raff and Jared Sylvester (Booz Allen Hamilton, USA) and Charles Nicholas (University of Maryland, Baltimore County, USA)