Stealing AI Reasoning Traces
Interesting research: “Stealing Reasoning Traces from Proprietary LLM APIs“: Abstract: Leading large language model providers now conceal their models’ step-by-step reasoning, or chain-of-thought, to...
View ArticleCriminal Deception in Silicon Valley
Interesting paper: Abstract: With entrepreneurial fraud cases on the rise, we investigate how entrepreneurs carry out criminal deception, employing deceptive means to defraud audiences. Analyzing court...
View ArticleLLMs and Contextual Integrity
I have been thinking a lot about AI and integrity. Part of that is contextual integrity. I recently found two papers on the topic. “CIMemories: A Compositional Benchmark for Contextual Integrity of...
View ArticleAI for Military Support
Interesting empirical research: “Black Box Warfare: Human Judgment and Military Decision-Making in the Age of AI.” Abstract: How is AI transforming decision-making in modern conflict? This study...
View ArticleMeasuring LLMs’ Ability to Perform Cryptanalysis
There’s new benchmark measuring AI’s ability to perform mathematical cryptanalysis. Anthropic’s frontier model actually found new attacks. The benchmark: “CryptanalysisBench: Can LLMs do...
View ArticleEnd-to-End Encryption and “Going Dark”
New paper: “Encryption and Globalization 15 Years Later: End-to-End Encryption and the Third Round of the ‘Going Dark’ Debate“: Abstract: This Article updates and expands on 2012 research on encryption...
View ArticleProtecting Privacy in an AI Era
Daniel Solove argues in the Wall Street Journal (alternate link) that giving people control of their personal data is not an effective way to regulate privacy in this era. Instead, we need to hold...
View ArticleA Video Screen That Is Also a Camera
Amazing: Researchers from ETH Zurich in Switzerland, however, managed to create a new type of pixel that can simultaneously do both. This hypercharged pixel, called a Fourier pixel, can generate and...
View ArticleCybersecurity Mission Creep in the US
Interesting paper: “Cybersecurity Mission Creep.” Abstract: Cybersecurity is experiencing mission creep. Policymakers are casting more and more problems as issues of cybersecurity. So reframed, wildly...
View ArticleVulnerability Disclosure in the Age of AI
New article: “Responsible Disclosure in the Age of AI: A Call for Urgent Action,” by Melissa Hathaway. Abstract: Artificial intelligence is fundamentally reshaping the balance between vulnerability...
View ArticleLLMs and Text-in-Text Steganography
Turns out that LLMs are really good at hiding text messages in other text messages.
View ArticleRowhammer Attack Against NVIDIA Chips
A new rowhammer attack gives complete control of NVIDIA CPUs. On Thursday, two research teams, working independently of each other, demonstrated attacks against two cards from Nvidia’s Ampere...
View ArticleHuman Trust of AI Agents
Interesting research: “Humans expect rationality and cooperation from LLM opponents in strategic games.” Abstract: As Large Language Models (LLMs) integrate into our social and economic interactions,...
View ArticleHow Hackers Are Thinking About AI
Interesting paper: “What hackers talk about when they talk about AI: Early-stage diffusion of a cybercrime innovation.” Abstract: The rapid expansion of artificial intelligence (AI) is raising concerns...
View ArticleAI Chatbots and Trust
All the leading AI chatbots are sycophantic, and that’s a problem: Participants rated sycophantic AI responses as more trustworthy than balanced ones. They also said they were more likely to come back...
View ArticlePossible New Result in Quantum Factorization
I’m skeptical about—and not qualified to review—this new result in factorization with a quantum computer, but if it’s true it’s a theoretical improvement in the speed of factoring large numbers with a...
View ArticleNew Attack Against Wi-Fi
It’s called AirSnitch: Unlike previous Wi-Fi attacks, AirSnitch exploits core features in Layers 1 and 2 and the failure to bind and synchronize a client across these and higher layers, other nodes,...
View ArticleLLM-Assisted Deanonymization
Turns out that LLMs are good at deanonymization: We show that LLM agents can figure out who you are from your anonymous online posts. Across Hacker News, Reddit, LinkedIn, and anonymized interview...
View ArticleSide-Channel Attacks Against LLMs
Here are three papers describing different side-channel attacks against LLMs. “Remote Timing Attacks on Efficient Language Model Inference“: Abstract: Scaling up language models has significantly...
View ArticlePrompt Injection Via Road Signs
Interesting research: “CHAI: Command Hijacking Against Embodied AI.” Abstract: Embodied Artificial Intelligence (AI) promises to handle edge cases in robotic vehicle systems where data is scarce by...
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