Tags → #backdoor attacks

Tools
Backdoor Attacks on Deep Learning Systems: New Toolkit Introduced
Nov 19, 2024 The article discusses the increasing significance of backdoor attacks on deep learning systems and introduces BackdoorMBTI, a toolkit designed to evaluate these attacks across multiple data modalities.
Tools
New Concept of Defendability Against Backdoors in Machine Learning
Nov 19, 2024 Researchers from the Alignment Research Center have proposed a new formal concept of defendability against backdoors in machine learning models, framing it as a strategic game between an attacker and a defender.
Vulnerabilities
Research Paper Proposes New Method to Combat Backdoor Attacks
Nov 15, 2024 A research paper from The Chinese University of Hong Kong, Shenzhen, introduces a novel method called Distance-Driven Detoxification (D3) to enhance defenses against backdoor attacks in machine learning models.
Vulnerabilities
Study Examines Undetectable Backdoors in Machine Learning Models
Nov 12, 2024 A recent study highlights the risks of undetectable backdoors in machine learning models, emphasizing the challenges of ensuring model integrity when training is outsourced to untrusted parties.
Tools
New Defense Mechanism BAN Enhances Backdoor Detection in Deep Learning
Nov 11, 2024 A novel defense mechanism called BAN has been proposed to enhance the detection of backdoor attacks on deep learning models, demonstrating superior performance and efficiency compared to existing methods.