Adversarial ML Digest

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Adversarial ML Digest posts

- 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
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…
- Adversarial ML
Multi-Task adversarial Attack focusing on many tasks at a time
November 30, 2020
This month, as usual, we have prepared for you a selection of the most interesting research on the security of artificial intelligence.
- Adversarial ML
Attacking object detection models with dynamic patches
October 31, 2020
Despite the fact that deep neural networks have become an integral part of highly vulnerable activities, they are highly susceptible to adsarial attacks. We…
- Adversarial ML
Aiding medics and law enforcement
December 31, 2019
This is Adversa’s monthly digest of the studies in the field of Machine Learning and Artificial Intelligence. From December 2019 we choose to cover the…
- Adversarial ML
The Greater Good: using AI for public safety
November 30, 2019
This digest explores AI uses in airport security, tempering with protest headcounts, sensitive content flagging — systems that keep millions of people safe.
- Adversarial ML
New on the Menu: adversarial attacks in finance, energy and the physical world
October 31, 2019
Read about he most exciting developments in AI Security in October 2019: financial fraud, physical attacks on self-driving cars, and ways to fool person…
- Adversarial ML
Hack First, Fix Later: 4 Novel Attacks that Researchers Developed Before Adversaries
September 30, 2019
Here is Adversa's overview of the novel adversarial attacks created in September 2019: their mechanics, their strengths, and ways to fend them off.
- Adversarial ML
The Power He Knows Not: How Adversaries Avoid Voice and Face Recognition Systems
August 31, 2019
Adversa’s overview of the August 2019 research in AI Security covers adversarial attacks on speech recognition systems that cannot be heard and successful…

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

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

Researchers VS researchers: getting over exhisting defences

Modified Simple black-box attack affects traffic scene perception

Perturbations disguised as watermarks are not suspicious

Multi-Task adversarial Attack focusing on many tasks at a time

Attacking object detection models with dynamic patches

Aiding medics and law enforcement

The Greater Good: using AI for public safety

New on the Menu: adversarial attacks in finance, energy and the physical world

Hack First, Fix Later: 4 Novel Attacks that Researchers Developed Before Adversaries

The Power He Knows Not: How Adversaries Avoid Voice and Face Recognition Systems