Adversarial Training (and Testing) | Stanford CS224U Natural Language Understanding | Spring 2021
UC Berkeley Center for Long-Term Cybersecurity
Adversarial Machine Learning: What? So What? Now What?
Software Engineering Institute | Carnegie Mellon University
Overview of Adversarial Machine Learning
Can your AI survive the ultimate stress test? Discover how adversarial testing. 🚀🤖
DEF CON 26 - A DEF CON Guide to Adversarial Testing of Software Used In the Criminal Justice System
Can your AI handle adversarial attacks? Discover why testing for weaknesses in AI systems is crucial
LLM Security EXPOSED! How Hackers Attack AI Models #chatgpt #ethicalhacking101 #cybersecurity
AI for High-Stakes Workflows: Adversarial Testing That Finds Failure Modes
Robustness Evaluation of Stacked Generative Adversarial Networks using Metamorphic Testing
Theoretical Neuroscience Podcast
Episode #32: On IIT and adversarial testing of consciousness theories
Prompt Engineering and Adversarial testing of Generative AI by Rashid k & Arthur K (Practical)
BSidesIOWA 2015 Track1: Adversarial Testing through Unconventional Offensive Breach Techniques
Sim-ATAV: Simulation-Based Adversarial Testing Framework for Autonomous Vehicles (Falsification)
Sim-ATAV: Simulation-Based Adversarial Testing Framework for Autonomous Vehicles Case 1
Search-Based Adversarial Testing and Improvement of Constrained Credit Scoring Systems - FSE 2020
Stanford University School of Engineering
Lecture 16 | Adversarial Examples and Adversarial Training
Search-Based Adversarial Testing and Improvement of Constrained Credit Sco... (Video, ESEC/FSE 2020)
Search-Based Adversarial Testing and Improvement of Constrained Credit S... (Teaser, ESEC/FSE 2020)
Search-Based and Fuzz Testing Workshop (SBFT)
Wasserstein Generative Adversarial Networks for Online Test Generation for Cyber Physical Systems
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Grimlord | VR Souls-like Action RPG
When a Martial Artist Plays VR! @monzagreatvr #soulslike #vr #quest3
How Adversarial Attacks Are Fooling AI #cryptocurrency #blockchaintechnology #bitcoin #cybersecurity
Center for Intelligent Systems CIS EPFL
Jingfeng Zhang (RIKEN-AIP): “Applications of Adversarial robustness”
Data Science for Social Impact (DSFSI)
DSFSI Seminar 2022: Rediet Abebe-Algorithms on Trial: Interrogating Evidentiary Statistical Software
Verifiability Talk 33: Adversarial machine learning and testing. Héctor Menendez (KCL, UK)
