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todayOctober 21, 2021

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Adversarial ML admin

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

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Adversarial ML admin

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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Adversarial ML admin

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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Adversarial ML admin

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 27, 2021

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Secure AI Weekly admin

Towards Trusted AI Week 38 – standing against data poisoning and others

Knowledge about artificial intelligence and its security needs to be constantly improved A developer’s guide to machine learning security TechTalks, September 24, 2021 Machine learning has become more widespread today. However, the main problem in machine learning today is adversarial attacks. And since this type of attack is quite different ...