Adversarial ML

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Adversarial ML posts

- Adversarial ML
Best of Adversarial ML Week 43 - Scalable certified defense against adversarial patches
November 4, 2021
This week in adversarial ML: deep neural networks remain vulnerable to patches invisible to the human eye, and a scalable certified defense against them.
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Best of Adversarial ML Week 42 - Multi-concept adversarial attacks and others
October 28, 2021
Machine learning techniques are commonly used in many applications and are known to be highly vulnerable to adversarial attacks.
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Best of Adversarial ML Week 41 - Adversarial attack across datasets and others
October 21, 2021
Intelligent Transportation Systems applications are often dependent on predicting traffic conditions.
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Best of Adversarial ML Week 40 - Adversarial attacks on black box video classifiers
October 14, 2021
Probably many have already heard about the unethical applications DeepFake and DeepNude.
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Best of Adversarial ML Week 39 - Adversarial semantic contour for object detection
October 7, 2021
Machine learning models can easily be confused with blind spots or common deceits.
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Best of Adversarial ML Week 38 - Fault fooling backdoor attack on neural network training and others
September 30, 2021
This week in adversarial ML: a fault-fooling backdoor attack on neural network training, and the research pushing model robustness forward.
- Adversarial ML
Best of Adversarial ML Week 37 - Perceptual adversarial patches for crowd counting
September 23, 2021
This week in adversarial ML: perceptual adversarial patches against crowd counting models, and the rest of the week's research worth reading.
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Best of Adversarial ML Week 36 - A novel adversarial-inspired data encryption method and others
September 16, 2021
One of the areas of application of deep learning face recognition models is surveillance systems in public places, which require face identification.
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Best of Adversarial ML Week 35 - Pupil shapes reveal GAN-generated faces
September 10, 2021
This week in adversarial ML: generative adversarial networks that produce photorealistic fakes, and what that means for images shared on social networks.
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Best of Adversarial ML Week 34 - Attacking aerial imagery object detector
September 2, 2021
Deep neural networks (DNNs) provide significant assistance in processing of aerial imagery taken with the help of earth-observing satellite platforms.
- Adversarial ML
Best of Adversarial ML Week 33 - Adversarial Attack to DNNs by dropping information
August 26, 2021
While the human eye can recognize objects without high detail, for example, in cartoons, for DNNs this task is still a problem.
- Adversarial ML
Best of Adversarial ML Week 32 - Mitigating robust and universal Adversarial Patch Attack
August 19, 2021
This week in adversarial ML: detecting and mitigating universal adversarial patch attacks, why NeuraCrypt is not private, and optical adversarial attacks.

More research

AIRQ: AI Risk Quadrant — independent AI agent security rating

AIRQ: AI Risk Quadrant — independent AI agent security rating

AIRQ: AI Risk Quadrant — independent AI agent security rating

Adversarial ML

Adversarial ML posts

Best of Adversarial ML Week 43 - Scalable certified defense against adversarial patches

Best of Adversarial ML Week 42 - Multi-concept adversarial attacks and others

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

Best of Adversarial ML Week 40 - Adversarial attacks on black box video classifiers

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

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

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

Best of Adversarial ML Week 36 - A novel adversarial-inspired data encryption method and others

Best of Adversarial ML Week 35 - Pupil shapes reveal GAN-generated faces

Best of Adversarial ML Week 34 - Attacking aerial imagery object detector

Best of Adversarial ML Week 33 - Adversarial Attack to DNNs by dropping information

Best of Adversarial ML Week 32 - Mitigating robust and universal Adversarial Patch Attack