Edition 2021

Organizing committee

General Chairs

Haralampos-G. Stratigopoulos  (FR)
Ioana Vatajelu (FR)

Program Chairs

Fei Su (US)
Martin Andraud (FI)

Panels Chair

Mehdi Tahoori (DE)

Program

Download the full program in pdf here

All times are CET

15:00

Introduction  
Haralampos Stratigopoulos, Sorbonne Université, CNRS, LIP6
Ioana Vatajelu, Université Grenoble Alpes, CNRS, TIMA  
15:05












Invited presentations 1  
Session chair: Fei Su, Intel, USA  

15:05 Improving reliability of DNN accelerators
Kanad Basu, UT Dallas, USA  

15:30 Co-design of Quantized Neural Networks for Reliable Inference on FPGAs  
Giulio Gambardella, Xilinx, Ireland
 
15:55 Embracing the Unreliability of Memory Devices for Neuromorphic Computing
Damien Querlioz, Université Paris Saclay, France
 
16:20 Software Based Dependability Management of Neuromorphic Computing
Anup Das, Drexel University, USA
16:45Break
17:00









Invited presentations 2  
Session chair: Martin Andraud, Aalto University, Finland  

17:00 Robustness through Errors: Enhancing Machine Learning Security through Approximate Computing
Ihsen Alouani, Polytechnic University Hauts-De-France, France  

17:25 Reliability and Security for Machine Learning Systems
Muhammad Shafique, NYU Abu Dhabi, UAE, NYU, USA 

17:50 Functional Criticality Classification of Structural Faults in AI Accelerators (“ML for ML”)
Krish Chakrabarty, Duke University, USA
18:15Break
18:30







Panel: Test and dependability for AI chips: any different from traditional chips?  
Moderator: Mehdi Tahoori, KIT, Germany  

Panelists:
Alberto Bosio, INL, Ecole Centrale de Lyon, France
Yiorgos Makris, UT Dallas, USA
Siddharth Garg, NYU, USA
Eric Zhang, Horizon Robotics, Canada
Fadi Maamari, Synopsys, USA  
19:30

Closing remarks  
Haralampos Stratigopoulos, Sorbonne Université, CNRS, LIP6
Ioana Vatajelu, Université Grenoble Alpes, CNRS, TIMA