Adversarial ML

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Adversarial ML posts

- Adversarial ML
Best of Adversarial ML Week 30 – Adversarially blurring visual object tracking
August 4, 2021
The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security
- Adversarial ML
Best of Adversarial ML Week 29 – Perceptibility of black-box adversarial attacks on face recognition
July 28, 2021
The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security
- Adversarial ML
Best of Adversarial ML Week 28 – Adversarial attacks on autonomous driving visual perception
July 21, 2021
The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security
- Adversarial ML
Best of Adversarial ML Week 27 – Understanding the Security of Deepfake Detection
July 14, 2021
The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security
- Adversarial ML
Best of Adversarial ML Week 26 – Data Poisoning Won't Save You From Facial Recognition
July 6, 2021
The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security
- Adversarial ML
Best of Adversarial ML Week 25 - Discriminative wavelet sub-bands - new approach for face morphing detection
June 30, 2021
Our team makes for you a weekly selection of the best research in the field of artificial intelligence security
- Adversarial ML
Best of Adversarial ML Week 24 - Lip motion patterns secure face liveness detection
June 22, 2021
Our team makes for you a weekly selection of the best research in the field of artificial intelligence security
- Adversarial ML
Best of Adversarial ML Week 23 - Detecting adversarial patched objects WITH or WITHOUT signature
June 17, 2021
Our team makes for you a weekly selection of the best research in the field of artificial intelligence security
- Adversarial ML
Best of Adversarial ML Week 21 - Cross-model adversarial watermark for combating deepfakes
June 1, 2021
Our team makes for you a weekly selection of the best research in the field of artificial intelligence security
- Adversarial ML
Researchers VS researchers: getting over exhisting defences
February 27, 2021
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…
- Adversarial ML
Modified Simple black-box attack affects traffic scene perception
January 31, 2021
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…
- Adversarial ML
Perturbations disguised as watermarks are not suspicious
December 31, 2020
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…

More research

AIRQ: The First Independent AI Agent Security Rating and Open Source Risk Scoring Framework Ranks 100+ AI Agents

AIRQ: The First Independent AI Agent Security Rating and Open Source Risk Scoring Framework Ranks 100+ AI Agents

AIRQ: The First Independent AI Agent Security Rating and Open Source Risk Scoring Framework Ranks 100+ AI Agents

Adversarial ML

Adversarial ML posts

Best of Adversarial ML Week 30 – Adversarially blurring visual object tracking

Best of Adversarial ML Week 29 – Perceptibility of black-box adversarial attacks on face recognition

Best of Adversarial ML Week 28 – Adversarial attacks on autonomous driving visual perception

Best of Adversarial ML Week 27 – Understanding the Security of Deepfake Detection

Best of Adversarial ML Week 26 – Data Poisoning Won't Save You From Facial Recognition

Best of Adversarial ML Week 25 - Discriminative wavelet sub-bands - new approach for face morphing detection

Best of Adversarial ML Week 24 - Lip motion patterns secure face liveness detection

Best of Adversarial ML Week 23 - Detecting adversarial patched objects WITH or WITHOUT signature

Best of Adversarial ML Week 21 - Cross-model adversarial watermark for combating deepfakes

Researchers VS researchers: getting over exhisting defences

Modified Simple black-box attack affects traffic scene perception

Perturbations disguised as watermarks are not suspicious