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DataKrypto’s 2026 Predictions and Trends - Cybersecurity Insiders
DataKrypto’s 2026 Predictions and Trends Cybersecurity Insiders
Cybersecurity Insiders
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cyberintel.kalymoon.com · 5269 articles · updated every 4 hours · grows forever
DataKrypto’s 2026 Predictions and Trends Cybersecurity Insiders
cross-posted from my blog TLDR The map of how the activations of one ‘source’ layer in an LLM impact the activations in some later ‘target’ layer can provide vectors for steering LLM behavior. Computi…
This post is an attempt to better operationalize FDT (functional decision theory). It answers the following questions: given a logical causal graph, how do we define the logical do-operator? what is l…
This work was conducted during the MATS 9.0 program under Neel Nanda and Senthooran Rajamanoharan. There's been a lot of buzz around Claude's 30K word constitution ("soul doc"), and unusual ways Anthr…
I was inspired to revise my formulation of this thought experiment by Ihor Kendiukhov's post On The Independence Axiom . Kendiukhov quotes Scott Garrabrant : My take is that the concept of expected ut…
Writing up a probably-obvious point that I want to refer to later, with significant writing LLM writing help. TL;DR: 1) A common critique of AI safety evaluations is that they occur in unrealistic set…
A central AI safety concern is that AIs will develop unintended preferences and undermine human control to achieve them. But some unintended preferences are cheap to satisfy, and failing to satisfy th…
TL;DR: We introduce a testbed based on censored Chinese LLMs, which serve as natural objects of study for studying secret elicitation techniques. Then we study the efficacy of honesty elicitation and …
The context is MIRI's twist on Axelrod's Prisoner's Dilemma tournament . Axelrod's competitors were programs, facing each other in an iterated Prisoner's Dilemma. MIRI's tournament is a one-shot Priso…
I originally wrote this as a private doc for people working in the field - it's not super polished, or optimized for a broad audience. But I'm publishing anyway because inference-verification is a new…
Authors: Gerson Kroiz*, Aditya Singh*, Senthooran Rajamanoharan, Neel Nanda Gerson and Aditya are co-first authors. This work was conducted during MATS 9.0 and was advised by Senthooran Rajamanoharan …
arXiv:2603.13290v1 Announce Type: new Abstract: Decentralized financial platforms rely heavily on Web of Trust reputation systems to mitigate counterparty risk in the absence of centralized identity v…
arXiv:2603.13420v1 Announce Type: new Abstract: Suffix jailbreak attacks serve as a systematic method for red-teaming Large Language Models (LLMs) but suffer from prohibitive computational costs, as a…
arXiv:2603.13424v1 Announce Type: new Abstract: Prompt injection remains one of the most practical attack vectors against LLM-integrated applications. We replicate the Microsoft LLMail-Inject benchmar…
arXiv:2603.13444v1 Announce Type: new Abstract: We present a technical case study on the Privacy-Enhancing Technologies (PETs) for Public Health Challenge, a collaborative effort to safely leverage se…
arXiv:2603.13461v1 Announce Type: new Abstract: Backdoor attacks pose severe security threats to large language models (LLMs), where a model behaves normally under benign inputs but produces malicious…
arXiv:2603.13472v1 Announce Type: new Abstract: In the era of digitization secure transmission of digital images has become essential in real world applications. Image encryption is an effective techn…
arXiv:2603.13517v1 Announce Type: new Abstract: CTI-REALM (Cyber Threat Real World Evaluation and LLM Benchmarking) is a benchmark designed to evaluate AI agents' ability to interpret cyber threat int…
arXiv:2603.13670v1 Announce Type: new Abstract: The rapid adoption of Transformer-based AI has been driven by accessible models such as ChatGPT, which provide API-based services for developers and bus…
arXiv:2603.13675v1 Announce Type: new Abstract: Graphics processing units (GPUs) power many intelligent transportation systems (ITS) and automated driving applications, but remain largely unmonitored …
arXiv:2603.13694v1 Announce Type: new Abstract: In light of rising cybersecurity threats, data center providers face growing pressure to protect their own management infrastructure from Distributed De…
arXiv:2603.13709v1 Announce Type: new Abstract: Sensitive data release is vulnerable to output-side privacy threats such as membership inference, attribute inference, and record linkage. This creates …
arXiv:2603.13722v1 Announce Type: new Abstract: Watermarking has emerged as an effective solution for copyright protection of synthetic data. However, applying watermarking techniques to synthetic tab…
arXiv:2603.13734v1 Announce Type: new Abstract: This study provides a comprehensive synthesis of Artificial Intelligence (AI), especially Machine Learning (ML) and Deep Learning (DL), in ransomware de…