Adversarial ML

A group of pioneering researchers have embarked on a quest to unveil the serious vulnerabilities and strengths of various AI applications from Classic Computer Vision to the latest LLM’s and VLM’s. Their latest works were collected in this digest for you covering jailbreak prompts, and transferable attacks, shining a light ...

Researchers explore the vulnerabilities that lie within the complex web of algorithms, and the need for a shield that can protect against unseen but not unfelt threats.   These papers published in October 2023 collectively study AI’s vulnerability, from the simplicity of human-crafted deceptions to the complexity of multilingual and visual ...

These are collected investigations into the Secure AI topic.  Large language models are now dabbling in table representation, but here’s the twist: adversarial attacks are shaking things up with clever entity swaps! The future of AI is not just about what it can do, but also about the curveballs thrown ...

With technology advances the ethical, security, and operational questions loom ever larger. From hijacked images that can control AI to camouflage techniques that can make vehicles invisible to sensors, the latest batch of research papers unveils some startling vulnerabilities in AI systems.  Can anyone hack an AI model by just ...

This digest delves into four riveting research papers that explore adversarial attacks on various machine learning models.  From visual trickery that fools large language models to systematic reviews of unsupervised machine learning vulnerabilities, these papers offer an eye-opening insight into the constantly evolving landscape of machine learning security. Subscribe for ...

Dive into the intricate tapestry of newest artificial intelligence research as we unravel a series of compelling Arxiv papers spanning diverse topics ranging from neurosymbolic AI, autonomous drone manipulation to real-world vulnerabilities in language model applications.  The essence of each study lies within the careful blend of objectives, methodologies, findings, ...