We work on Computer Vision, Machine Learning, AI Safety and much more
Learn more about us at: https://torrvision.com
New article by Deni Bechard at Scientific America covering our work on hijacking Multimodal computer agents published on Arxiv earlier this year. A massive effort by Lukas Aichberger, supported by myself Yarin Gal, Philip Torr, FREng, FRS & Adel Bibi
New article by Deni Bechard at Scientific America covering our work on hijacking Multimodal computer agents published on Arxiv earlier this year. A massive effort by Lukas Aichberger, supported by myself Yarin Gal, Philip Torr, FREng, FRS & Adel Bibi
We propose a new framework for LLMs safety. 🧵
(1/7)
#LLM #AISafety #ICLR2025 #Certification #AdversarialRobustness #NLP #Shhhhhh #DomainCertification #AI
We propose a new framework for LLMs safety. 🧵
(1/7)
#LLM #AISafety #ICLR2025 #Certification #AdversarialRobustness #NLP #Shhhhhh #DomainCertification #AI
www.linkedin.com/posts/philip...
www.linkedin.com/posts/philip...
Our latest research exposes critical security risks in AI assistants. An attacker can hijack them by simply posting an image on social media and waiting for it to be captured. [1/6] 🧵
Our latest research exposes critical security risks in AI assistants. An attacker can hijack them by simply posting an image on social media and waiting for it to be captured. [1/6] 🧵
🚨 New Paper Alert: Open Problem in Machine Unlearning for AI Safety 🚨
Can AI truly "forget"? While unlearning promises data removal, controlling emergent capabilities is a inherent challenge. Here's why it matters: 👇
Paper: arxiv.org/pdf/2501.04952
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🚨 New Paper Alert: Open Problem in Machine Unlearning for AI Safety 🚨
Can AI truly "forget"? While unlearning promises data removal, controlling emergent capabilities is a inherent challenge. Here's why it matters: 👇
Paper: arxiv.org/pdf/2501.04952
1/8
- 💥 Improving on #StylizedImageNet, use #IllusionBench: can you see the cat 🐈⬛ Hidden in Plain Sight in the picture 🖼️?
Paper: arxiv.org/abs/2411.06287
- 💥 Improving on #StylizedImageNet, use #IllusionBench: can you see the cat 🐈⬛ Hidden in Plain Sight in the picture 🖼️?
Paper: arxiv.org/abs/2411.06287