Adversarial ML Digest

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Adversarial ML Digest posts

- Adversarial ML
Adversarial ML research digest – Adversarial Attacks on DALL-E, Grammatical Error Correction, and how to share AI Red Teaming results
September 29, 2022
The Adversa team makes for you a selection of the best research in the field of artificial intelligence and machine learning security for August 2022.
- Adversarial ML
Adversarial ML research digest – Adversarial attacks on 5G, Graph backdoors and Membership Inference via Adversarial attack
August 26, 2022
Carrying out vulnerabilities in machine learning models as part of the study is necessary for further successful work on potential attacks and defenses. And…
- Adversarial ML
Adversarial ML research digest – Architectural Backdoors, Federated Learning Backdoors, and Image-scaling attacks on AI
July 28, 2022
Carrying out vulnerabilities in machine learning models as part of the study is necessary for further successful work on potential attacks and defenses. And…
- Adversarial ML
Monthly research digest – Emulating weather conditions and others
June 15, 2022
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…
- Adversarial ML
Monthly research digest - Adversarial attacks on an optical neural network and others
May 12, 2022
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…
- Adversarial ML
Monthly research digest - Physical-world adversarial shadows and others
April 14, 2022
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…
- Adversarial ML
Special edition monthly research digest - Synthetic disinformation attacks on automated fact verification systems
March 17, 2022
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…
- Adversarial ML
Towards Trusted AI Week 11 – why AI models can fail, and others
March 14, 2022
Artificial intelligence has come a long way, but it needs to meet safety criteria
- Adversarial ML
The security of deep learning defences for medical imaging
February 10, 2022
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…
- Adversarial ML
Towards Trusted AI Week 2 – DARPA’s public tools teach AI developers to defend against attacks, and others
January 11, 2022
Machine learning has come a long way, but it needs to meet safety criteria
- Adversarial ML
Best of Adversarial ML Week 50 - Adversarial examples for extreme multilabel text classification, and others
December 23, 2021
Smart healthcare systems are gaining popularity thanks to IoT and wireless connectivity. However, adversarial attacks remain a big problem for them, and a…
- Adversarial ML
Best of Adversarial ML Week 49 - SNEAK: Synonymous Sentences-Aware Adversarial Attack, and others
December 16, 2021
Predicting the trajectory of a vehicle is extremely important for self-driving cars. Modern methods are impressive, but they have no off-road predictions…

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 Digest

Adversarial ML Digest posts

Adversarial ML research digest – Adversarial Attacks on DALL-E, Grammatical Error Correction, and how to share AI Red Teaming results

Adversarial ML research digest – Adversarial attacks on 5G, Graph backdoors and Membership Inference via Adversarial attack

Adversarial ML research digest – Architectural Backdoors, Federated Learning Backdoors, and Image-scaling attacks on AI

Monthly research digest – Emulating weather conditions and others

Monthly research digest - Adversarial attacks on an optical neural network and others

Monthly research digest - Physical-world adversarial shadows and others

Special edition monthly research digest - Synthetic disinformation attacks on automated fact verification systems

Towards Trusted AI Week 11 – why AI models can fail, and others

The security of deep learning defences for medical imaging

Towards Trusted AI Week 2 – DARPA’s public tools teach AI developers to defend against attacks, and others

Best of Adversarial ML Week 50 - Adversarial examples for extreme multilabel text classification, and others

Best of Adversarial ML Week 49 - SNEAK: Synonymous Sentences-Aware Adversarial Attack, and others