Media Summary: Nowadays, privacy is a major concern in distributed and federated computation. This motivates the development of new concepts ... Adversarial artificial intelligence and machine learning is a growing threat in cybersecurity and AI agents are incredibly helpful—but that also makes them vulnerable. In this episode, we dive into prompt injection and
Detecting Mitigating Data Poisoning Attacks - Detailed Analysis & Overview
Nowadays, privacy is a major concern in distributed and federated computation. This motivates the development of new concepts ... Adversarial artificial intelligence and machine learning is a growing threat in cybersecurity and AI agents are incredibly helpful—but that also makes them vulnerable. In this episode, we dive into prompt injection and AI Models Are Under Attack! In this video, we uncover the alarming truth about Model Like and Subscribe for more deep dives into AI security and adversarial machine learning! Ever wonder if you can truly trust an ... USENIX Security '22 - Poison Forensics: Traceback of
The MLSecOps Podcast Season 1 Episode 2 With Guest Florian Tramér, PhD In this episode, we interview Florian Tramèr, PhD ... Abstract: At training time, Federated Learning algorithms can be vulnerable to Think your AI model is safe? Think again. 🛡️ In Module 3, we reveal the advanced tactics hackers use to break machine ... Authors: Minghong Fang (Iowa State University), Minghao Sun (Iowa State University), Qi Li (Iowa State University), Neil ... Presentation held at CANS 2020. Paper by Shintaro Narisada, Shoichiro Sasaki, Seira Hidano, Toshihiro Uchibayashi, Takuo ... AI systems are only as secure as their training
Hackers don't always break into your systems with code — sometimes, they A single poisoned dataset can ruin everything. DistrictCon 2026 - Sunday, Track 2 Maria Khodak
