Adversarial Testing for Compiler Engineers - Sébastien Doeraene
Ghost in the Machine: Adversarial AI Attacks
Model Synthesis Algorithm
Jesse Alama - Your inner compiler engineer wants out!
Google C++ Safety, Netflix Stress Test & AI Insights 🚀
"Compilers for adaptable compute acceleration" by Niyati Shah, Senior Software Engineer at Xilinx
Characterizing Soft Error Vulnerability of CPUs Across Compiler Optimizations and Microarchitectures
Mitigating Adversarial Attacks against Machine Learning for Static Analysis
Read a paper: Replacing Paging with Compiler/Kernel Cooperation
DEF CON 26 AI VILLAGE - Rob Brandon - JMPgate Accelerating Reverse Engineering Into Hyperspace
Vulnerability of Machine Learning Algorithms to Adversarial Attacks for Cyber-Physical Power Systems
NavInfo Europe Research Paper Presentation @NeurIPS 2021
GAME151 Live Coding #5 (Humber Game Programming)
Zen and the Art of Code Life Cycle Maintenance - Phil Nash - NDC Oslo 2023
USENIX Security '22 - Loki: Hardening Code Obfuscation Against Automated Attacks
Generative Adversarial Network (GAN) Explained in Hindi l Deep Learning
DEF CON 26 - Greenstadt and Dr Caliskan - De-anonymizing Programmers from Source Code
ML for Chips, Compiliers, and Systems - NeurIPS 2024 w/Jeff Dean (Google), Tim Kraska (AWS)
129 - What are Callbacks, Checkpoints and Early Stopping in deep learning (Keras and TensorFlow)
Online Talk: [QCon London 2023] ChatGPT is Fun, but the Future is Fully Autonomous AI for Code