Tag: adversarial attacks
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The Register: Cheap ‘n’ simple sign trickery will bamboozle self-driving cars, fresh research claims
Source URL: https://www.theregister.com/2025/03/07/lowcost_malicious_attacks_on_selfdriving/ Source: The Register Title: Cheap ‘n’ simple sign trickery will bamboozle self-driving cars, fresh research claims Feedly Summary: Now that’s sticker shock Eggheads have taken a look at previously developed techniques that can be used to trick self-driving cars into doing the wrong thing – and found cheap stickers stuck on stop…
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CSA: Agentic AI Threat Modeling Framework: MAESTRO
Source URL: https://cloudsecurityalliance.org/blog/2025/02/06/agentic-ai-threat-modeling-framework-maestro Source: CSA Title: Agentic AI Threat Modeling Framework: MAESTRO Feedly Summary: AI Summary and Description: Yes Summary: The text presents MAESTRO, a novel threat modeling framework tailored for Agentic AI, addressing the unique security challenges associated with autonomous AI agents. It offers a layered approach to risk mitigation, surpassing traditional frameworks such…
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Hacker News: A minimal PyTorch implementation for training your own small LLM from scratch
Source URL: https://github.com/Om-Alve/smolGPT Source: Hacker News Title: A minimal PyTorch implementation for training your own small LLM from scratch Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text describes a minimal PyTorch implementation for training a small Language Model (LLM) from scratch, intended primarily for educational purposes. It showcases modern techniques in LLM…
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Simon Willison’s Weblog: Introducing Operator
Source URL: https://simonwillison.net/2025/Jan/23/introducing-operator/ Source: Simon Willison’s Weblog Title: Introducing Operator Feedly Summary: Introducing Operator OpenAI released their “research preview" today of Operator, a cloud-based browser automation platform rolling out today to $200/month ChatGPT Pro subscribers. They’re calling this their first "agent". In the Operator announcement video Sam Altman defined that notoriously vague term like this:…
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Simon Willison’s Weblog: Trading Inference-Time Compute for Adversarial Robustness
Source URL: https://simonwillison.net/2025/Jan/22/trading-inference-time-compute/ Source: Simon Willison’s Weblog Title: Trading Inference-Time Compute for Adversarial Robustness Feedly Summary: Trading Inference-Time Compute for Adversarial Robustness Brand new research paper from OpenAI, exploring how inference-scaling “reasoning" models such as o1 might impact the search for improved security with respect to things like prompt injection. We conduct experiments on the…
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OpenAI : Trading inference-time compute for adversarial robustness
Source URL: https://openai.com/index/trading-inference-time-compute-for-adversarial-robustness Source: OpenAI Title: Trading inference-time compute for adversarial robustness Feedly Summary: Trading Inference-Time Compute for Adversarial Robustness AI Summary and Description: Yes Summary: The text explores the trade-offs between inference-time computing demands and adversarial robustness within AI systems, particularly relevant in the context of machine learning and AI security. This topic holds…
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Hacker News: Phi-4: Microsoft’s Newest Small Language Model Specializing in Complex Reasoning
Source URL: https://techcommunity.microsoft.com/blog/aiplatformblog/introducing-phi-4-microsoft%e2%80%99s-newest-small-language-model-specializing-in-comple/4357090 Source: Hacker News Title: Phi-4: Microsoft’s Newest Small Language Model Specializing in Complex Reasoning Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The introduction of Phi-4, a state-of-the-art small language model by Microsoft, highlights advancements in AI, particularly in complex reasoning and math-related tasks. It emphasizes responsible AI development and the…
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Simon Willison’s Weblog: 0xfreysa/agent
Source URL: https://simonwillison.net/2024/Nov/29/0xfreysaagent/#atom-everything Source: Simon Willison’s Weblog Title: 0xfreysa/agent Feedly Summary: 0xfreysa/agent Freysa describes itself as “the world’s first adversarial agent game". On 22nd November they released an LLM-driven application which people could pay to message (using Ethereum), with access to tools that could transfer a prize pool to the message sender, ending the game.…