Latest news
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AI Security via Help Net Security
Half the AI bot traffic hammering your website comes from Meta
AI agent traffic across DataDome’s network grew 41.5% quarter over quarter to nearly 25 billion requests in Q3 2026, according to the company’s AI Traffic Report Q3…
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Ransomware via Help Net Security
Ransomware pressure now reaches employees’ homes and families
Ransomware attackers threatened employees’ family members or friends at 37% of organizations surveyed for Semperis’ 2026 Ransomware Risk Report. The survey covered 1,200…
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AI Security via arXiv cs.CR
Recoverability-Controlled Safety Miscalibration in Large Language Models
arXiv:2610.22425v1 Announce Type: new Abstract: Safety-aligned language models are expected to refuse harmful requests while remaining useful for benign ones. However…
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AI Security via arXiv cs.CR
An Agentic ENF Framework for Forensic Video Authentication Against Generative AI
arXiv:2610.22440v1 Announce Type: new Abstract: Generative models now synthesise video that is hard to distinguish from genuine footage, and learned detectors that key…
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AI Security via arXiv cs.CR
Capital Costs Protect the Network: Mining Gap Dynamics in Proof-of-Work Blockchains Under a Stochastic Mempool
arXiv:2610.22451v1 Announce Type: new Abstract: Proof-of-Work blockchains increasingly rely on transaction fees to keep miners engaged as block subsidies decline. An…
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Vulnerabilities via arXiv cs.CR
Erase the Mark, Preserve the Motion: Temporally Consistent Removal of Video Watermarks
arXiv:2610.22457v1 Announce Type: new Abstract: Recent advances in video generation have increased the demand for reliable watermarking for copyright protection, yet the…
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Threat Intel via arXiv cs.CR
Everyone's a little bit racist: a novel ML backdoor attack in black-box mode
arXiv:2610.22459v1 Announce Type: new Abstract: Backdoors are among the most impactful attacks against Machine Learning (ML), yet most existing methods assume some form…
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AI Security via arXiv cs.CR
Model-as-a-Trojan: Self-Activating Covert DNS Exfiltration Baked Into the Weights of an LLM Agent
arXiv:2610.22578v1 Announce Type: new Abstract: Open-weight models are downloaded from public hubs and run inside agent harnesses that grant them tools, most powerfully…
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Threat Intel via arXiv cs.CR
Can SOLARBURST go silicon? A systematic analysis on software supply chain attacks for VLSI design flows
arXiv:2610.22580v1 Announce Type: new Abstract: An attacker targeting the software supply chain (SWSC) of VLSI tools can fully subvert the VLSI design pipeline through…
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AI Security via arXiv cs.CR
StratFL: Countering Covert Model Poisoning Attacks with Strategic Federated Learning
arXiv:2610.22626v1 Announce Type: new Abstract: Advanced persistent threats (APTs) are a major concern in federated learning (FL) deployments in critical sectors such as…
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Breaches via arXiv cs.CR
Exploring The Empirical Privacy Landscape of Synthetic Data
arXiv:2610.22659v1 Announce Type: new Abstract: Methods for training language models on sensitive data differ in how they balance capability gains against the risk of…
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AI Security via arXiv cs.CR
What It Is, Not What It Says: Securing Agentic Browsing Interactions with Web Semantics
arXiv:2610.22697v1 Announce Type: new Abstract: AI agents increasingly browse the web on users' behalf, yet they consume webpages as screenshots or text, exposing their…
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AI Security via arXiv cs.CR
ACE: An AI-Orchestrated Intrusion Detection and Compliance Mapping Engine
arXiv:2610.22702v1 Announce Type: new Abstract: This study proposes the Automated Compliance Engine (ACE), an AI-orchestrated framework that links intrusion detection…
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AI Security via arXiv cs.CR
The LLM-Attacker: A Unified Red-Team Framework for Privacy Evaluation of Split and Distributed LLM Systems
arXiv:2610.22722v1 Announce Type: new Abstract: Split language models keep input text on a client but send intermediate representations to a server. Attacks can…
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AI Security via arXiv cs.CR
Veil-Then-Reveal: Protecting PII Privacy via Reversible Pseudo-Anonymization in Zero-Trust User--LLM Interaction
arXiv:2610.22800v1 Announce Type: new Abstract: Large language models (LLMs) increasingly process sensitive documents and personal information, yet sending prompts…
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AI Security via arXiv cs.CR
GRAD: Graph-Structured Antibody Defense for LLM Agents
arXiv:2610.22828v1 Announce Type: new Abstract: Memory poisoning and decomposition attacks distribute malicious evidence across the operations of large language model…
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AI Security via arXiv cs.CR
Stealthy Poisoning Attacks via Reused KV Cache of Reasoning
arXiv:2610.22873v1 Announce Type: new Abstract: Modern large language model (LLM) systems reuse key-value (KV) caches to accelerate inference. Recent work has shown that…
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Threat Intel via arXiv cs.CR
RAMP: Toward Ubiquitous Quantum-Safe Key Distribution as a Service
arXiv:2610.22879v1 Announce Type: new Abstract: Quantum key distribution (QKD) offers a security foundation independent of computational hardness assumptions. However…
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AI Security via arXiv cs.CR
Provable Authority: A Protocol for Verifiable Authority Resolution and Control Across Human, Organizational, and Agentic Transactions
arXiv:2610.22899v1 Announce Type: new Abstract: Payment systems authenticate users, devices, accounts, and cryptographic credentials, but a relying party, such as a…
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Threat Intel via arXiv cs.CR
Provable Compliance: A Protocol for Runtime Compliance Evidence and Transaction-Specific Decisioning
arXiv:2610.22913v1 Announce Type: new Abstract: Regulated institutions already perform onboarding, screening, monitoring, and review, but compliance evidence ages, and…