2019 International Conference On Computer Aided Design

The Premier Conference Devoted to Technical Innovations in Electronic Design Automation

November 4-7, 2019The Westin Westminster Westminster, CO

v class="event-details"> MP Associates, Inc.

MONDAY November 05, 1:45pm - 3:45pm | Monte Carlo
EVENT TYPE: EMBEDDED TUTORIAL

SESSION 2B
Accelerated Safe and Secure Machine Learning
Moderator:
Rosario Cammarota - Qualcomm Research
This tutorial brings the top experts from the industry and academia to cover several important topics in safe, and secure machine learning that enable automated synthesis of trustworthy machine learning for the state-of-the-art algorithms. The discussed topics include ML on private (encrypted) data, model assurance against the contemporary attacks including adversarial learning and transfer learning, IP protection for ML, as well as trusted execution of contemporary ML algorithms. Due to its prevalence and dominance in state-of-the-art applications, deep learning would be utilized as the proof-of-concept for the various discussed methodologies.

The tutorial provides a unique opportunity for the audience to gain a thorough understanding of deep learning models, the security, privacy and reliability issues of the existing methodologies, and potential solutions to address the standing issues in the context of (deep) learning models. Emphasis will be given to safe and secure automation and acceleration of the explained methodologies using hardware-software co-design techniques. Given the wide range of ML applications in various scientific fields and the increasing interest of academia and industry leaders in this emerging field, this tutorial prepares the audience to attain a competitive advantage by providing a holistic view of the existing security and privacy concerns in automated systems empowered by ML and the state-of-the-art hardware-software co-design solutions to address those concerns.

2B.1Deep Learning on Encrypted Data
 Speaker: Farinaz Koushanfar - Univ. of California, San Diego
 Authors: Farinaz Koushanfar - Univ. of California, San Diego
M. Sadegh Riazi - Univ. of California, San Diego
2B.2Machine Learning IP Protection
 Speaker: Rosario Cammarota - Qualcomm Technologies, Inc.
 Author: Rosario Cammarota - Qualcomm Technologies, Inc.
2B.3Assured Deep Learning: Practical Defense Against Adversarial Attacks
 Speaker: Bita Rouhani - Microsoft Corporation
 Authors: Bita Rouhani - Microsoft Corporation
Mohammad Samragh - Univ. of California, San Diego
Mojan Javaheripi - Univ. of California, San Diego
Tara Javidi - Univ. of California, San Diego
Farinaz Koushanfar - Univ. of California, San Diego
2B.4Trusted Execution for Machine Learning
 Speaker: Ahmad-Reza Sadeghi - Technische Univ. Darmstadt
 Author: Ahmad-Reza Sadeghi - Technische Univ. Darmstadt