Adversarial ML Digest

Adversarial ML Digest · Page 3 of 6 · Back to Adversarial ML Digest

Adversarial ML Digest posts

- Adversarial ML
Best of Adversarial ML Week 48 - Adversarial attacks against Multispectral Cloud Detector, and others
December 9, 2021
Data collected by Earth observation satellites is cloud dependent, and cloud detection is often done through deep learning and is critical to running EO…
- Adversarial ML
Best of Adversarial ML Week 47 - Adversarial attacks in cooperative AI, and others
December 2, 2021
Bokeh is a natural phenomenon of shallow depth of field that blurs out-of-focus areas of a photograph, and people are used to seeing it in photographs. Due…
- Adversarial ML
Best of Adversarial ML Week 46 - Consistent semantic attacks on optical flow, and others
November 26, 2021
The development of deep neural networks has greatly influenced the progress in Multi-Object Tracking (MOT), in particular MOT trackers based on JDT…
- Adversarial ML
Best of Adversarial ML Week 45 - Advanced model extractions leveraging efficient weight stealing in memories, and others
November 19, 2021
Machine learning is widely used in a variety of mission-critical applications, from autonomous driving to authentication systems, but this growth in…
- Adversarial ML
Best of Adversarial ML Week 44 - Adversarial attacks on knowledge graph embeddings and others
November 12, 2021
The rapid development of IoT and artificial AI has spurred the development of Adaptive Traffic Signal Control (ATCS) systems, which are currently being…
- Adversarial ML
Best of Adversarial ML Week 43 - Scalable certified defense against adversarial patches
November 4, 2021
It has been proven that deep neural networks (DNNs) are vulnerable to malicious patches that make changes that are invisible to the human eye but affect the…
- Adversarial ML
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. Test time attacks are…
- Adversarial ML
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. Recently, research on this issue has focused on…
- Adversarial ML
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. They came about by creating high quality image-to-image conversion…
- Adversarial ML
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. Digital “stickers,” also called adversarial patches, can interfere with…
- Adversarial ML
Best of Adversarial ML Week 38 - Fault fooling backdoor attack on neural network training and others
September 30, 2021
Deep neural networks are deeply vulnerable to adversarial examples, and this has led to a huge amount of research to strengthen models and increase their…
- Adversarial ML
Best of Adversarial ML Week 37 - Perceptual adversarial patches for crowd counting
September 23, 2021
Federated learning (FL) has recently gained particular attention as a machine learning technique due to its ability to effectively protect customer…

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 48 - Adversarial attacks against Multispectral Cloud Detector, and others

Best of Adversarial ML Week 47 - Adversarial attacks in cooperative AI, and others

Best of Adversarial ML Week 46 - Consistent semantic attacks on optical flow, and others

Best of Adversarial ML Week 45 - Advanced model extractions leveraging efficient weight stealing in memories, and others

Best of Adversarial ML Week 44 - Adversarial attacks on knowledge graph embeddings and others

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