Adversarial ML

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) ...

The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security Get a Model! Model Hijacking Attack Against Machine Learning Models Machine learning is widely used in a variety of mission-critical applications, from autonomous driving to authentication systems, but this growth ...

The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles The rapid development of IoT and artificial AI has spurred the development of Adaptive Traffic Signal Control (ATCS) systems, ...

The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security Attacking Video Recognition Models with Bullet-Screen Comments It has been proven that deep neural networks (DNNs) are vulnerable to malicious patches that make changes that are invisible to the human ...

The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security Multi-concept adversarial attacks Machine learning techniques are commonly used in many applications and are known to be highly vulnerable to adversarial attacks. Test time attacks are carried out by adding ...

The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models Intelligent Transportation Systems applications are often dependent on predicting traffic conditions. Recently, research on this issue has focused on multi-stage ...

The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial Attack Probably many have already heard about the unethical applications DeepFake and DeepNude. They came about by creating ...

The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors Machine learning models can easily be confused with blind spots or common deceits. Digital “stickers,” also called adversarial ...