Adversarial ML

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todayNovember 19, 2021

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Best of Adversarial ML Week 45 – Advanced model extractions leveraging efficient weight stealing in memories, and others

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 ...

todayNovember 12, 2021

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Best of Adversarial ML Week 44 – Adversarial attacks on knowledge graph embeddings and others

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, ...

todayOctober 21, 2021

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Best of Adversarial ML Week 41 – Adversarial attack across datasets and others

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 ...

todayOctober 14, 2021

  • 59
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Best of Adversarial ML Week 40 – Adversarial attacks on black box video classifiers

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 ...

todayOctober 7, 2021

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Best of Adversarial ML Week 39 – Adversarial semantic contour for object detection

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 ...

todaySeptember 30, 2021

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Best of Adversarial ML Week 38 – Fault fooling backdoor attack on neural network training and others

The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles Deep neural networks are deeply vulnerable to adversarial examples, and this has led to a huge amount of research to strengthen models ...

todaySeptember 23, 2021

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Adversarial ML Jelena Sh

Best of Adversarial ML Week 37 – Perceptual adversarial patches for crowd counting

The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security  DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning Federated learning (FL) has recently gained particular attention as a machine learning technique due to its ability to effectively protect ...