TUESDAY June 26, 10:30am - 12:00pm | Room 3014
TOPIC AREA: SECURITY/PRIVACY
KEYWORD: ANY
EVENT TYPE: RESEARCH REVIEWED

SESSION 10
Deep Secure Thoughts
Chair:
Christopher Harris - Auburn Univ., Auburn, AL
Co-Chair:
Ro Cammarota - Qualcomm Research, San Diego, CA
A series of research projects are presented which employ deep learning to achieve security. Learning is used to recognize malware execution, enable private distributed collaboration, and perform approximate decryption. Learning systems are protected from side-channel attack via memory address access patterns.

10.1Ensemble Learning for Effective Run-Time Hardware-Based Malware Detection: A Comprehensive Analysis and Classification
 Speaker: Sai Manoj Pudukotai Dinakarrao - George Mason Univ. & Technische Univ. Wien, Fairfax, VA
 Authors: Hossein Sayadi - George Mason Univ., Fairfax, VA
Nisarg Patel - ASML Netherlands B.V. & George Mason Univ., Wilton, CT
Sai Manoj Pudukotai Dinakarrao - George Mason Univ. & Technische Univ. Wien, Fairfax, VA
Avesta Sasan - George Mason Univ., Fairfax, VA
Setareh Rafatirad - George Mason Univ., Fairfax, VA
Houman Homayoun - George Mason Univ., Fairfax, VA
10.2DeepSecure: Scalable Provably-Secure Deep Learning
 Speaker: Bita Darvish Rouhani - Univ. of California, San Diego, La Jolla, CA
 Authors: Bita Darvish Rouhani - Univ. of California, San Diego, La Jolla, CA
M. Sadegh Riazi - Univ. of California, San Francisco, CA
Farinaz Koushanfar - Univ. of California, San Diego, La Jolla, CA
10.3DWE: Decrypting Learning with Errors with Errors
 Speaker: Song Bian - Kyoto Univ., Kyoto, Japan
 Authors: Song Bian - Kyoto Univ., Kyoto, Japan
Masayuki Hiromoto - Kyoto Univ., Kyoto, Japan
Takashi Sato - Kyoto Univ., Kyoto, Japan
10.4Reverse Engineering Convolutional Neural Networks Through Side-channel Information Leaks
 Speaker: Weizhe Hua - Cornell Univ., Ithaca, NY
 Authors: Weizhe Hua - Cornell Univ., Ithaca, NY
Zhiru Zhang - Cornell Univ., Ithaca, NY
G. Edward Suh - Cornell Univ., Ithaca, NY