GitHub Unveils AI Tool to Speed Development, but Beware Insecure Code Dark Reading, July 1, 2021 As a result of a collaboration between GitHub and OpenAI, an artificial intelligence system called Copilot emerged. The system was originally created in order to offer developers suggestions for code: it is expected that ...
Our team makes for you a weekly selection of the best research in the field of artificial intelligence security Differential Morph Face Detection using Discriminative Wavelet Sub-bands In face morphing attacks, a morphed reference image of someone’s face can pass a successful verification as two or more persons. Such attacks ...
Biased AI can cause significant damage to reputation and business AI Weekly: NIST proposes ways to identify and address AI bias Venture Beat, June 25, 2021 It’s no secret that biased AI can significantly damage public trust in AI. The National Institute of Standards and Technology (NIST), the U.S. agency ...
Our team makes for you a weekly selection of the best research in the field of artificial intelligence security Securing Face Liveness Detection Using Unforgeable Lip Motion Patterns Deep learning models are used for face authentication, which have high recognition accuracy. However, the weakness of such models is that they ...
Our team makes for you a weekly selection of the best research in the field of artificial intelligence security We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature Recently adversarial patch attacks have been shown to be effective against the object detection based on deep learning. ...
One of the main problems of AI is the lack of trust from users Is there any way out of Clearview’s facial recognition database? The Verge, June 9, 2021 Last year it became known that the Clearview AI company used millions of images from the Internet to create a facial ...
Artificial intelligence needs comprehensive study Machine Learning Security Evasion Competition 2021 Calls for Researchers and Practitioners Cujo AI, May 31, 2021 The Machine Learning Security Evasion Competition 2021 (MLSEC2021) is an annual event bringing together ML practitioners and security researchers who compete in the defender challenge and the attacker challenge: ...
Our team makes for you a weekly selection of the best research in the field of artificial intelligence security CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes Deepfakes have become practically one of the main problems of artificial intelligence technologies and data privacy: with the help of deepfake technologies, ...
AI applications need higher accuracy, less biases and more ethics to function properly Facebook Launches An Evaluation-As-A-Service Framework For ML Models Analytics India Magazine, May 30, 2021 Facebook wants to influence the industry to more rigorously evaluate NLP in a real-world setting with a customization of a new ‘Dynascore’ metric. ...
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