Houssem Ben Braiek
Houssem Ben Braiek
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Recent & Upcoming Talks
2024
Ensuring the Reliability, Robustness, and Ethical Compliance of LLMs
Large Language Models (LLMs) have revolutionized natural language processing by enabling human-like text generation and conversation…
Aug 22, 2024 3:30 PM — 4:00 PM
HEC Montréal
Slides
Introduction to Domain-Aware DL Model Testing
Incorporating domain knowledge for rigorous and deterministic testing of high-risk deep learning models…
Jan 24, 2024 9:30 AM — 10:00 AM
Hydro-Québec Research Institute (IREQ)
Slides
2023
Towards Trustworthy Deep Learning Software System
Navigating the complexities of debugging and testing in deep learning software systems…
Nov 17, 2023 4:00 PM — 5:00 PM
Meta NYC Office
Slides
2022
Domain-Aware Deep Learning Testing for Aircraft System Models
How to leverage physics domain knowledge in testing the DL-enabled Aircraft System Models.
May 18, 2022 2:30 PM — 3:00 PM
la Salle des promotions du Petit séminaire de Québec
Slides
A Hand‑on Guide on Testing Deep Neural Networks
(Part 1) Difference between traditional software and AI mode; (Part 2) Feedforward Neural Network Testing; (Part 3) Stateful Neural Network Analysis and Testing
May 18, 2022 2:30 PM — 3:00 PM
Oakland Center
Code
2020
Hands-on Coding Session on Debugging Neural Networks Programs
A tutorial on debugging Tensorflow programs that allows participants from academia and industry to learn the basics of debugging neural network training programs.
Mar 3, 2020 3:00 PM — 5:00 PM
HEC Montréal
Code
2019
Hands-on Coding Session on Metamorphic Testing of Neural Networks
This tutorial introduces the automation of metamorphic test generation for deep neural networks to attendees from academia and industry.
May 23, 2019 2:00 PM — 4:00 PM
Polytechnic Montreal
Code
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