Adversarial ML

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 challenges for AI security researchers is to find vulnerabilities in existing defenses. This is what one of the most interesting studies of February 2021 is devoted to. Oriole: Thwarting Privacy against Trustworthy Deep Learning Models Facial recognition technology that has become widespread in almost all spheres of ...

In some areas of human activity, for example, in the field of health care or autonomous transport, the security of neural networks is critical, therefore research in this area is of great importance. Here is a selection of the most interesting ones for January 2021. Black-box Adversarial Attacks in Autonomous ...

Carrying out attacks on machine learning models as part of the study is necessary for further successful work on potential vulnerabilities. And here is a selection of the most interesting studies for December 2020. FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems Optical Character Recognition (OCR) is ...