Adversarial Training (and Testing) | Stanford CS224U Natural Language Understanding | Spring 2021
Can your AI survive the ultimate stress test? Discover how adversarial testing. 🚀🤖
Software Engineering Institute | Carnegie Mellon University
Overview of Adversarial Machine Learning
Stanford University School of Engineering
Lecture 16 | Adversarial Examples and Adversarial Training
DEF CON 26 - A DEF CON Guide to Adversarial Testing of Software Used In the Criminal Justice System
UC Berkeley Center for Long-Term Cybersecurity
Adversarial Machine Learning: What? So What? Now What?
One Pixel Can Hack Any AI Model | Machine Learning Vulnerability #ai #Perturbations #Adversarial
Robustness Evaluation of Stacked Generative Adversarial Networks using Metamorphic Testing
AI for High-Stakes Workflows: Adversarial Testing That Finds Failure Modes
Search-Based and Fuzz Testing Workshop (SBFT)
Wasserstein Generative Adversarial Networks for Online Test Generation for Cyber Physical Systems
Adversarial Attacks on Agentic AI Systems — Robustness, Security, and Autonomous Pentesting
Theoretical Neuroscience Podcast
Episode #32: On IIT and adversarial testing of consciousness theories
Center for Intelligent Systems CIS EPFL
Jingfeng Zhang (RIKEN-AIP): “Applications of Adversarial robustness”
UCL Centre for Artificial Intelligence
Examining word-level adversarial examples for text classification - Maximilian Mozes, UCL
LLMs Explained - Aggregate Intellect - AI.SCIENCE
Paper review - Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey | AISC
![[Classic] Generative Adversarial Networks (Paper Explained)](/vi/eyxmSmjmNS0/mqdefault.jpg)
Okay Waymo, Crash My Car! 🗣️ Testing Autonomous Vehicle Safety with Adversarial Driving Scenarios...
UCSD Advanced Robotics and Controls Lab
Adversarial imitation via variational inverse reinforcement learning
Presentations at 3rd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining
Compositional Generative Networks & Adversarial Examiners: Beyond the Limitations of Current AI
Generative AI in Software Testing – Practical Demo & Ethical Insights | SSBM – Student ID: 93315
ISTQB AI Tester | Adversarial Attack & Data Poisoning | AI Tester Certification | AI Tutorials
Analyzing AI Model Internals for Debugging and Adversarial Sample Attack Detecti - Xiangyu Zhang
Hack.lu 2018: 14 Easy Lessons For Thinking About Complex Adversarial Systems - Eleanor Saitta
Lorentz Center Robust AI Workshop
Confidence-Calibrated Adversarial Training and Bit Error Robustness of DNNs, David Stutz
Search-Based Adversarial Testing and Improvement of Constrained Credit Scoring Systems - FSE 2020
Sim-ATAV: Simulation-Based Adversarial Testing Framework for Autonomous Vehicles Case 1
Evaluating Deep Learning-Based Intrusion Detection for Adversarial Attacks on IoT Medical Devices
![[AI Red Teaming] Why Adversarial Testing Matters for Modern AI](/vi/0jkf4qRMB44/mqdefault.jpg)
DEF CON 26 AI VILLAGE - infosecanon - The Current State of Adversarial Machine Learning
USENIX Security '20 - Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited
Analyzing AI Model Internals for Debugging and Adversarial Sample Attack Detecti - Xiangyu Zhang
Hack.lu 2018: 14 Easy Lessons For Thinking About Complex Adversarial Systems - Eleanor Saitta
IEEE Symposium on Security and Privacy
Nicholas Carlini: Making and Measuring Progress in Adversarial Machine Learning
John Snow Labs – Healthcare AI Company
How Robust is Your NLP System? An Introduction to Adversarial Evaluation in NLP
Lorentz Center Robust AI Workshop
Confidence-Calibrated Adversarial Training and Bit Error Robustness of DNNs, David Stutz
Toronto Machine Learning Society (TMLS)
Adversarial Threats Across the ML Lifecycle: A Red Team Perspective | Sanket Badhe, TikTok
Search-Based and Fuzz Testing Workshop (SBFT)
This is the Search-Based and Fuzz Testing (SBFT) Workshop YouTube channel! https://sbft23.github.io/ Ongoing research on ...
Search-Based Adversarial Testing and Improvement of Constrained Credit Sco... (Video, ESEC/FSE 2020)
Reputation Gaming in Crowd Technical Knowledge Sharing + Adversarial Attack Classification
Toronto Machine Learning Society (TMLS)
A Practical Framework for Reliability and Performance | Irena Grabovitch-Zuyev, PagerDuty
Jingxuan He (ETH) - Large Language Models for Code: Security Hardening and Adversarial Testing
KSU College of Computing and Software Engineering
UR-70: Faster Inequivalence Testing Using Robustness
Relating Adversarial Robustness and Weight Robustness Through Flatness | MPI MiS+UCLA Talk
What Happens When Hackers Test Your AI Before You Do #aisecurity #redteaming #AdversarialTesting
![[EfficientML] Nils Walter: The Uncanny Valley: Adversarial Robustness from a Flatness Perspective](/vi/1ClKbsWCrzE/mqdefault.jpg)
[EfficientML] Nils Walter: The Uncanny Valley: Adversarial Robustness from a Flatness Perspective
Data Science for Social Impact (DSFSI)
DSFSI Seminar 2022: Rediet Abebe-Algorithms on Trial: Interrogating Evidentiary Statistical Software
Adapting Cybersecurity for the Age of Adversarial AI | NextLabs Cybersecurity Expert Series Ep. 24
Search-Based Adversarial Testing and Improvement of Constrained Credit S... (Teaser, ESEC/FSE 2020)
Search-Based and Fuzz Testing Workshop (SBFT)
SBST 2022: Paolo Tonella's Keynote on Deep Learning Testing
