11th ACM Workshop on Artificial Intelligence and Security
with the 25th ACM Conference on Computer and Communications Security (CCS)
October 19, 2018
Toronto, Canada


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Preliminary Program:

Time       TitleAuthors
9:00 - 9:10 Session 1
Welcome Remarks
Chair: Sadia Afroz (International Computer Science Institute, UC Berkeley)
9:15 - 10:15 A Marauder's Map of Security and Privacy in Machine Learning (Keynote) Nicholas Papernot (Google Brain)
10:15 - 10:45 Coffee Break
10:45 - 11:45 Session 2
AI Security / Adversarial Machine Learning
Chair: Battista Biggio (University of Cagliari, Italy)
All you need is "love": Evading hate speech detection Tommi Gröndahl (Aalto University), Luca Pajola (Aalto University), Mika Juuti (Aalto University), Mauro Conti (University of Padua) and N. Asokan (Aalto University)
Towards Query Efficient Black-box Attacks: An Input-free Perspective Yali Du (University of Technology, Sydney), Meng Fang (Tencent AI Lab), Jinfeng Yi (JD AI Research), Jun Cheng (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences) and Dacheng Tao (The University of Sydney)
Stochastic Substitute Training: A General Approach to Craft Adversarial Examples against Defenses which Obfuscate Gradients Mohammad Hashemi (University of Colorado Boulder), Greg Cusack (University of Colorado Boulder) and Eric Keller (University of Colorado Boulder)
12:00 - 13:30 Lunch
13:30 - 14:10 Session 3
AI for Detecting Software Vulnerabilities
Chair: Asaf Shabtai (Ben-Gurion University of the Negev, Israel)
Adaptive Grey-Box Fuzz-Testing with Thompson Sampling Siddharth Karamcheti (Bloomberg), Gideon Mann (Bloomberg) and David Rosenberg (Bloomberg)
Toward Smarter Vulnerability Discovery Using Machine Learning Gustavo Grieco (Trail of Bits) and Artem Dinaburg (Trail of Bits)
14:10 - 15:10 Session 4
Panel: "AI and Security: The Next 10 Years"
Chair: David Freeman (Facebook, USA)
Sadia Afroz, ICSI
Hyrum Anderson, Endgame
Nicholas Carlini, Google Brain
Sakshi Jain, LinkedIn
Konrad Rieck, TU Braunschweig
15:10 - 15:40 Coffee Break
15:40 - 17:00 Session 5
AI for Detecting Attacks and Forensics
Chair: Yuval Elovici (Ben-Gurion University of the Negev, Israel)
FeatNet: Large-scale Fraud Device Detection by Network Representation Learning with Rich Features Chao Xu (Baidu X-Lab), Zhentan Feng (Baidu X-Lab), Yizheng Chen (Baidu X-Lab), Minghua Wang (Baidu X-Lab) and Tao Wei (Baidu X-Lab).
Hunting Malicious TLS Certificates with Deep Neural Networks Ivan Torroledo (Cyxtera Technologies), Luis Camacho (Cyxtera Technologies) and Alejandro Correa (Cyxtera Technologies)
Integration of Static and Dynamic Code Stylometry Analysis for Programmer De-anonymization Ningfei Wang (Lehigh University), Shouling Ji (Zhejiang University) and Ting Wang (Lehigh University)
Towards Evaluating the Security of Image CAPTCHA in the Wild Binbin Zhao (Zhejiang University), Haiqin Weng (Zhejiang University), Shouling Ji (Zhejiang University), Jianhai Chen (Zhejiang University), Ting Wang (Lehigh University), Qinming He (Zhejiang University) and Raheem Beyah (Zhejiang University)