TextSeal2: Distortion-Free LLM Watermarking with Copula Mixing and Memoryless Races
We present TextSeal2, a distortion-free watermark for large language models that keeps its signal under speculative deco
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共收录 1652 条相关情报。
← 返回所有主题Efficient Scalable Oversight via Rewinding
Scalable oversight asks how a weak verifier can check the outputs of computations performed by more powerful AI systems.
Understanding and Mitigating Role Spoofing in LLMs
Despite growing capabilities, LLMs remain susceptible to prompt injections: malicious inputs that can manipulate or hija
InferD: A Honeypot Framework for AI Inference Infrastructure
Large language model serving stacks, commercial inference APIs, vector databases, and agent orchestration gateways are n
Judging Before Propagation: Task-Graph Contextual Integrity for Multi-Agent Privacy
Multi-agent LLM systems increasingly rely on persistent memory and inter-agent communication. These capabilities create
Does Federated Training Degrade Explainability? A Comparative Analysis of Grad-CAM Faithfulness in Centralized vs. Federated Deepfake Detection
Automated detection has become the essential safeguard against realistic synthetic media, but deploying it at scale requ
REALM: Identifying Minimal Task Assets for LLM Agents
Large language model (LLM) agents often receive access to more files, accounts, and services than a task requires. Promp
Appreciation Teaches Unauthorized Execution: Self-Evolution Degrades the Robustness of Personal Agents to Indirect Prompt Injection
Self-evolving personal agents act for users and learn from user feedback. However, if an agent obeys an instruction that
PCM: A Proof-Carrying Message Protocol for Verifiable Multi-Agent Communication
When one AI agent tells another that "the tests passed" or "a person approved this refund", the receiver has only the se
FlipJev: Fast Black-Box Red Teaming Finds Universal Adversarial Suffixes for Typed Decision Models
Typed decision models are an emerging class of language models that make decisions instead of generating free-text respo
Where You Inject Matters: The Trust Region Effect in LLM Agents
LLM agents are increasingly adopted in long-horizon tasks and interact with diverse external environments. Despite their
Enhanced image forensics through partial C2PA-based provenance information
Cryptographically verifiable C2PA-based Content Credentials (CCs) can be attached to freshly acquired or generated digit
How Deterministic SAST and AI Security Agents Divide the Work: Coverage, Harness Policy and Cost in Snyk VulnBench 2.0
We ask what AI coding agents and AI security harnesses find that deterministic static application security testing (SAST
Tracekit Box: Running AI Agents in Micro-VMs Where Every Way Out Is Decided and Signed
AI agents now install packages, call model APIs with their operators' keys and change code in repositories that deploy t
DecisionUnlearn-Bench: Unlearning Probabilistic Decisions under Changing Schemas
Machine unlearning aims to reproduce the behavior of a model trained without designated data. For probabilistic decision
Manifest-Assisted Retrieval in Artificial Intelligence Search: Evidence Gaps and a Security Evaluation
The external sources retained in our non-systematic audit did not isolate the incremental security or utility effect of
Is it my preference? Role Grounding Attack against Agent's Memory via Social Interaction
LLM-based agents now share experiences on social platforms and remember new preferences to enhance their performance. Ho
Answer-Only Disclosure: Private-Context LLM Assistance over Web APIs with a Leakage Ledger
Web assistants increasingly answer questions about a user's private documents by pairing a small on-device model with a
Jailbreak Connectivity: Towards Diverse, Transferable, and Universal Multimodal Large Language Model Jailbreak
Multimodal large language models (MLLMs) are vulnerable to visual jailbreak attacks that bypass safety safeguards. Exist
Scan Before You Install: Detecting and Mitigating Local and Composite Vulnerabilities in Skills
An agent skill packages natural-language instructions, scripts, and reference files that an LLM-based agent loads for a