Видео с ютуба Neural Network Vulnerabilities

Deep Learning's Most Dangerous Vulnerability: Adversarial Attacks at Silicon Valley Code Camp 2019

Visualizing the Impact of Adversarial Attacks on Perception in Convolutional Neural Networks

32 - Neural Network Assisted Fuzzing - Discovering Software Vulnerabilities Using Deep Learning

Exploring Vulnerabilities in Spiking Neural Networks: Direct Adversarial Attacks on Raw Event Data

Graph Neural Network-based Vulnerability Predication

Evasion Attacks on Neural Networks

Backdooring and Poisoning Neural Networks with Image-Scaling Attacks

USENIX Security '24 - Hijacking Attacks against Neural Network by Analyzing Training Data

Security Vulnerabilities in Machine Learning

Adversarial Attacks on AI: Impact and Defenses

Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks

LineVD: Statement-level Vulnerability Detection using Graph Neural Networks

What Are Adversarial Attacks On CNNs? - AI and Machine Learning Explained

Deep Learning Based Vulnerability Detection : Are We There Yet?

Model Stealing Attacks Against Inductive Graph Neural Networks

VCodeDet: a Graph Neural Network for Source Code Vulnerability Detection

Adversarial Attacks on Neural Networks - Bug or Feature?

Model Stealing Attacks Against Inductive Graph Neural Networks

USENIX Security '22 - Inference Attacks Against Graph Neural Networks

Why Are Deep Learning Models Vulnerable To Adversarial Attacks? - Tech Terms Explained