Informations about SSL certificates and networks security
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A Chinese company has developed an AI-piloted submersible that can reach speeds “similar to a destroyer or a US Navy torpedo,” dive “up to 60 metres underwater,” and “remain static for more than a month, like the stealth capabilities of a nuclear submarine.” In case you’re worried about the military applications of this, you can … Read More “Chinese AI Submersible” »
Reporting on the rise of fake students enrolling in community college courses: The bots’ goal is to bilk state and federal financial aid money by enrolling in classes, and remaining enrolled in them, long enough for aid disbursements to go out. They often accomplish this by submitting AI-generated work. And because community colleges accept all … Read More “Fake Student Fraud in Community Colleges” »
Deepfakes are now mimicking heartbeats In a nutshell Recent research reveals that high-quality deepfakes unintentionally retain the heartbeat patterns from their source videos, undermining traditional detection methods that relied on detecting subtle skin color changes linked to heartbeats. The assumption that deepfakes lack physiological signals, such as heart rate, is no longer valid. This challenges … Read More “Another Move in the Deepfake Creation/Detection Arms Race” »
This seems like an important advance in LLM security against prompt injection: Google DeepMind has unveiled CaMeL (CApabilities for MachinE Learning), a new approach to stopping prompt-injection attacks that abandons the failed strategy of having AI models police themselves. Instead, CaMeL treats language models as fundamentally untrusted components within a secure software framework, creating clear … Read More “Applying Security Engineering to Prompt Injection Security” »
Interesting research: “Guillotine: Hypervisors for Isolating Malicious AIs.” Abstract:As AI models become more embedded in critical sectors like finance, healthcare, and the military, their inscrutable behavior poses ever-greater risks to society. To mitigate this risk, we propose Guillotine, a hypervisor architecture for sandboxing powerful AI models—models that, by accident or malice, can generate existential threats … Read More “Regulating AI Behavior with a Hypervisor” »
As AI coding assistants invent nonexistent software libraries to download and use, enterprising attackers create and upload libraries with those names—laced with malware, of course. Powered by WPeMatico
Microsoft is reporting that its AI systems are able to find new vulnerabilities in source code: Microsoft discovered eleven vulnerabilities in GRUB2, including integer and buffer overflows in filesystem parsers, command flaws, and a side-channel in cryptographic comparison. Additionally, 9 buffer overflows in parsing SquashFS, EXT4, CramFS, JFFS2, and symlinks were discovered in U-Boot and … Read More “AI Vulnerability Finding” »
This is a truly fascinating paper: “Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography.” The basic idea is that AIs can act as trusted third parties: Abstract: We often interact with untrusted parties. Prioritization of privacy can limit the effectiveness of these interactions, as achieving certain goals necessitates sharing private … Read More “AIs as Trusted Third Parties” »
Cloudflare has a new feature—available to free users as well—that uses AI to generate random pages to feed to AI web crawlers: Instead of simply blocking bots, Cloudflare’s new system lures them into a “maze” of realistic-looking but irrelevant pages, wasting the crawler’s computing resources. The approach is a notable shift from the standard block-and-defend … Read More “AI Data Poisoning” »
The Atlantic has a search tool that allows you to search for specific works in the “LibGen” database of copyrighted works that Meta used to train its AI models. (The rest of the article is behind a paywall, but not the search tool.) It’s impossible to know exactly which parts of LibGen Meta used to … Read More “My Writings Are in the LibGen AI Training Corpus” »