arXiv:2608.08195v1 Announce Type: new Abstract: Large language models (LLMs) are high-value assets that can be derived through redeployment, fine-tuning, quantization, or further alignment. Because de…
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arXiv:2608.08195v1 Announce Type: new Abstract: Large language models (LLMs) are high-value assets that can be derived through redeployment, fine-tuning, quantization, or further alignment. Because de…
arXiv:2608.08131v1 Announce Type: new Abstract: In the fictional Order 66, catastrophe does not arise from a powerful command alone: a trusted population is preconditioned, a short directive activates…
arXiv:2608.08100v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) enables large language models to classify network flows and generate human-readable incident reports by retrieving …
arXiv:2608.08030v1 Announce Type: new Abstract: Recovering the weights and biases of deep neural networks (DNNs) via black-box input-output queries, known as parameter extraction attacks, has been ext…
arXiv:2608.08027v1 Announce Type: new Abstract: Prompt injection is a critical security threat in large language model (LLM) applications, where attackers hijack model behavior by embedding malicious …
arXiv:2608.08011v1 Announce Type: new Abstract: With digital technologies now being part of the fabric of our societies, identifying and managing cybersecurity threats becomes imperative. Within the E…
arXiv:2608.07933v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) improves the factuality of large language models with external knowledge, yet conflicting evidence remains a fundam…
arXiv:2608.07913v1 Announce Type: new Abstract: Selective-risk certificates promise that accepted outputs meet a declared error target. We develop Fed-SRC, a score-agnostic certificate for federated, …
arXiv:2608.07892v1 Announce Type: new Abstract: Large reasoning models (LRMs) expose a new safety failure mode: adversarial prompts can manipulate reasoning context, task decomposition, or capability …
arXiv:2608.07846v1 Announce Type: new Abstract: Verifiable credentials (VCs) and decentralized identifiers (DIDs) enable selective disclosure but lack legal anchoring: without a trusted identity root,…
arXiv:2608.07808v1 Announce Type: new Abstract: Four years after prompt injection was first identified in 2022, attacks are still predominantly documented as verbatim strings rather than structured ex…
arXiv:2608.07776v1 Announce Type: new Abstract: Software teams now delegate production code to language models, including code that provisions storage, handles credentials, and stores regulated data, …
arXiv:2608.07636v1 Announce Type: new Abstract: Deep-OCR (DeepSeek-OCR) advances document recognition by treating the visual modality as an optical compression medium, enabling long-context OCR at low…
arXiv:2608.07591v1 Announce Type: new Abstract: Connected aftermarket devices extend vehicle diagnostics, repair workflows, and over-the-air software maintenance beyond original equipment manufacturer…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Last week, I headed 30 miles south of San Francisco to a hotel…
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OpenAI tightens controls on its new model over cybersecurity risks, as AI security debate intensifies CNBC
MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here. Way back in the summer of 2017,…
Every few decades, someone announces that science has reached its end. In 1903, the revered physicist Albert Michelson wrote that the “facts of physical science have all been discovered.” In the 1980s…
arXiv:2608.06770v1 Announce Type: new Abstract: Controllable surgical world models can provide a generative foundation for surgical artificial intelligence and simulation by synthesizing realistic ins…
arXiv:2608.06765v1 Announce Type: new Abstract: Continuous-time dynamic graph models predict future links by compressing past interactions into neural states. Although effective for forecasting, this …