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Review posts

Towards Trusted AI Week 34 – fooling AI in Optical Adversarial Attack
August 30, 2021
Even sophisticated technologies such as artificial intelligence can be fooled
- 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.
Towards Trusted AI Week 33 – Fool AI into ignoring stop signs
August 23, 2021
Machine learning and artificial intelligence can both be used for bad and for good
- Adversarial ML
Best of Adversarial ML Week 32 - Mitigating robust and universal Adversarial Patch Attack
August 19, 2021
Adversarial patch attack against image classification deep neural networks (DNNs) as within such attacks a malefactor can put arbitrary distortions within a…
Towards Trusted AI Week 32 – Feature Importance-Aware Attacks enhance transferability
August 16, 2021
Machine learning has come a long way, but it needs to meet safety criteria
- Adversarial ML
Best of Adversarial ML Week 31 – Robust and invisible backdoor attack
August 12, 2021
The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security
Towards Trusted AI Week 31 – finding Twitter AI biases with HackerOne bounties
August 9, 2021
In order to test smart systems for strength, sometimes you need the help of a large number of people
- 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
Towards Trusted AI Week 30 – development of an AI Risk Management Framework
August 2, 2021
Knowledge about artificial intelligence and its security needs to be constantly improved
- 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
Towards Trusted AI Week 29 – malware gets hidden inside AI's 'neurons'
July 26, 2021
Without proper attention from experts, AI can become a weapon in the hands of attackers
- 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

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

Review

Review posts

Towards Trusted AI Week 34 – fooling AI in Optical Adversarial Attack

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

Towards Trusted AI Week 33 – Fool AI into ignoring stop signs

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

Towards Trusted AI Week 32 – Feature Importance-Aware Attacks enhance transferability

Best of Adversarial ML Week 31 – Robust and invisible backdoor attack

Towards Trusted AI Week 31 – finding Twitter AI biases with HackerOne bounties

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

Towards Trusted AI Week 30 – development of an AI Risk Management Framework

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

Towards Trusted AI Week 29 – malware gets hidden inside AI's 'neurons'

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