Adversarial ML

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 February 2022, which is a special edition on content moderation and anti-fake engine attacks that are extremely relevant ...

Artificial intelligence has come a long way, but it needs to meet safety criteria Needy, overconfident voice assistants are wearing on their owners’ last nerves Washington Post, March 7, 2022  Despite the fact that smart speakers have become widespread by now and can be found in almost every second home, ...

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 January 2022. The Security of Deep Learning Defences for Medical Imaging Deep learning is currently being successfully applied ...

Machine learning has come a long way, but it needs to meet safety criteria Adversarial Machine Learning: A Beginner’s Guide to Adversarial Attacks and Defenses Hackernoon, January 9, 2022 The article discusses the basic principles of machine learning and describes its basics in simple terms. Adversarial machine learning itself is ...

The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security Addressing Adversarial Machine Learning Attacks in Smart Healthcare Perspectives Smart healthcare systems are gaining popularity thanks to IoT and wireless connectivity. However, adversarial attacks remain a big problem for them, ...

The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security Vehicle trajectory prediction works, but not everywhere Predicting the trajectory of a vehicle is extremely important for self-driving cars. Modern methods are impressive, but they have no off-road predictions, they ...

The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector Data collected by Earth observation satellites is cloud dependent, and cloud detection is often done through deep learning and is critical to ...

The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security AdvBokeh: Learning to Adversarially Defocus Blur Bokeh is a natural phenomenon of shallow depth of field that blurs out-of-focus areas of a photograph, and people are used to seeing it ...

The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object Tracking The development of deep neural networks has greatly influenced the progress in Multi-Object Tracking (MOT), in particular MOT trackers based on JDT (Joint-Detection-Tracking) ...