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Found 6 papers, 2 papers with code
Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things
In FL, local models can be tampered with by attackers.
PhishClone: Measuring the Efficacy of Cloning Evasion Attacks
We then reported our sites to VirusTotal and other platforms, with regular polling of results for 7 days, to ascertain the efficacy of each cloning technique.
Towards Web Phishing Detection Limitations and Mitigation
However, with an average of 10K phishing links reported per hour to platforms such as PhishTank and VirusTotal (VT), the deficiencies of such ML-based solutions are laid bare.
Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches
Biometric data, such as face images, are often associated with sensitive information (e. g medical, financial, personal government records).
Characterizing Malicious URL Campaigns
Seemingly dissimilar URLs are being used in an organized way to perform phishing attacks and distribute malware.
Evaluation of Federated Learning in Phishing Email Detection
For a fixed total email dataset, the global RNN based model suffers by a 1. 8% accuracy drop when increasing organizational counts from 2 to 10.
