#LLM #LLMs #LargeLanguageModels #ArtificialIntelligence #AI #ContentModeration #DigitalSafety #TrustAndSafety #AIModeration #NLP #NaturalLanguageProcessing #ModelEvaluation #Benchmarking #AdversarialML #SocialMedia #OnlineHarms #ResponsibleAI
Human Factors Redefine Adversarial Analysis for AI Decision Systems
Researchers demonstrate a timing‑based adversarial attack that leaves AI output unchanged but adds delays or contradictory cues, increasing error rates in decision tasks. Read more: getnews.me/human-factors-redefine-a... #adversarialml #humanfactors
Bi-Task Adversarial Attack Threatens Object Detection and Depth Estimation
A Bi‑Task Adversarial Attack can lower detection confidence and shift monocular depth; printed‑patch tests show it works in the real world. Read more: getnews.me/bi-task-adversarial-atta... #adversarialml #objectdetection #depthestimation
Batch and Streaming Estimators Boost System Identification against Attacks
The preprint, submitted September 2025, shows a batch estimator with exponential error decay as Markov‑parameter order k rises, even with ~1/k attack probability. Read more: getnews.me/batch-and-streaming-esti... #sysid #adversarialml
📢 We are excited to share that 4 new papers acknowledging #CoEvolution have been accepted for publication! 🎉
📝 Topics include adversarial robustness, federated learning & 3D perception.
👉 Explore them on our website: coevolution-project.eu/publications
#AI #AdversarialML #Cybersecurity #Research
New article!
📖 Discover SecML-Torch, an open-source Python library from UNICA’s sAIfer Lab, designed to advance research in Adversarial Machine Learning (AML) and evaluate ML model robustness.
🔗 Read the full article: coevolution-project.eu/secml-torch-...
#AI #AdversarialML #Cybersecurity
Loved being back in Berlin for @wearedevelopers.bsky.social World Congress. Great to catch up with friends and chat with so many amazing people!
🎉 Recording of my talk “Confuse, Obfuscate, Disrupt” is out now: bit.ly/3I5OEJU
#AdversarialML
🥊When the Algorithm Fights Back – Continuous adversarial ML testing is the frontline against AI-targeted cyberattacks, hardening models before threats exploit them. #CyberSecurity #MachineLearning #AIThreatDefense #AdversarialML #TheCyberLens
thecyberlens.com/p/when-the-a...
This was another great ep following the one with Simon Willison about finding the boundaries of LLMs oxide-and-friends.transistor.fm/episodes/…
#podcast #machineLearning #LLM #adversarialML
#ControlTheory for #adversarialML at #AAAI2021 paper similar to our #CVPR work w/ @ArashRahnamaPhD @AndreNguyen16 is On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory
