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 ...
Adversa AI, the leading Trusted AI Research startup, has demonstrated a new attack method on AI facial recognition applications. By making imperceptible changes in human faces, it makes an AI-driven facial recognition algorithm misrecognize persons. Compared to other similar approaches, this method is transferable across all AI models and at ...
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 ...
Alex Polyakov and Eugene Neelou deliver their talks about the state of trusted AI and challenges for securing AI applications at Machine Learning Week Europe Virtual Livestream 2021. The week of June 14th to 18th hundreds of data scientists, analytics managers and AI visionaries from pharma, manufacturing, marketing, insurance, and ...
On June 14, the Adversa team presented its research of Trusted AI and the latest technologies at CogX Festival 2021. CogX Festival gathers the brightest minds in business, government and technology to celebrate innovation, discuss global topics and share the latest trends shaping the defining decade ahead. With the ambitious ...
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: ...
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