WebMar 2, 2024 · Exploring Backdoor Poisoning Attacks Against Malware Classifiers Authors: Giorgio Severi Northeastern University Jim Meyer Scott Coull Alina Oprea Northeastern University Abstract Current... WebAug 16, 2024 · Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers Blind Backdoors in Deep Learning Models Graph Backdoor Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion
[2003.01031] Explanation-Guided Backdoor Poisoning Attacks Against ...
WebJan 31, 2024 · Machine Learning models are susceptible to attacks, such as noise, privacy invasion, replay, false data injection, and evasion attacks, which affect their reliability and trustworthiness. Evasion attacks, performed to probe and identify potential ML-trained models’ vulnerabilities, and poisoning attacks, performed to obtain skewed … WebApr 5, 2024 · Backdoor attacks have been demonstrated as a security threat for machine learning models. Traditional backdoor attacks intend to inject backdoor functionality into the model such that the backdoored model will perform abnormally on inputs with predefined backdoor triggers and still retain state-of-the-art performance on the clean inputs. drury inn and suites chesterfield missouri
USS Lab. - Ubiquitous System Security Lab.
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