cs.CR
34.5k resultsAnchorMark: Robust Diffusion Watermarking via Latent-Space Rotation Synchrony
Yuqi Qian, Yun Cao, Haocheng Fu +3
The paper proposes AnchorMark, a training‑free inversion‑based watermarking method for diffusion models that uses a latent‑space rotation synchrony property to embed a central anch…
Temporal Poisoning: Clean-Label Backdoors via Event Redistribution in SNNs
Roberto Riaño, Gorka Abad, Stjepan Picek +1
The paper introduces a clean‑label backdoor attack for spiking neural networks that subtly reshapes the timing of events in target‑class training streams, achieving near‑perfect at…
Piggybacking on Perception: Stealthy Concurrent Audio Prompt Injections against Multimodal LLM Agents
Mingxiao Liu, Yitong Li, Haoren Zhao +6
The paper studies stealthy audio prompt injection attacks that hide malicious instructions within normal speech to hijack multimodal LLM agents, introduces a benchmark (AudioAgentS…
Strategy Phasing of Cyber Attacks on Digital Substations
Akila Herath, Chen-Ching Liu, Junho Hong +1
The paper introduces SubCASP, a Hidden Markov Model approach that combines IDS logs to identify and predict the phases of cyber attacks on IEC 61850‑based digital substations, usin…
CHARGE: Leveraging CWE Hierarchies for Hardware Security SystemVerilog Assertion Generation
Xiao Tan, Cynthia Sturton
CHARGE is an automated framework that uses CWE hierarchies and large language models to generate SystemVerilog assertions for unverified RTL modules, enabling security property inf…
Agent Harness Distillation: Inference-Time Harness Extraction and Exploitation in Autonomous Multi-Agent Systems
Yu Cui, Wuli Yang, Yirui Shi +4
The paper presents Agent Harness Distillation (AHD), a method for extracting and replicating inference-time coordination mechanisms (harnesses) from autonomous multi-agent systems…
Safeguards Based on Copyable Context Cannot Provide Reliable Safety for LLMs
Pingyu Wu, Lingyao Zhu, Weiming Zhang +1
The paper shows that safeguards for large language models that rely only on copyable context cannot guarantee reliable safety for dual‑use tasks, and proposes adding hard‑to‑copy t…
Adaptive Security at the Edge for 6G-Enabled Healthcare IoT
Ijaz Ahmad, Erkki Harjula
The paper introduces NANOEDGEGUARD, a kernel‑plane controller that adaptively enforces multi‑tier rate limits at edge gateways for healthcare IoT, improving alarm latency and reduc…
Distributed Point Functions and Function Secret Sharing
Elette Boyle, Niv Gilboa, Yuval Ishai +1
The paper surveys the cryptographic primitive of distributed point functions (DPFs) and its extension to function secret sharing (FSS), covering definitions, constructions, and a r…
Benign on Label, Malicious by Design: Clean-Label Dormant-to-Activated Backdoor via Machine Unlearning with Removable Camouflage
Dongdong Zhao, Can Li, Xiang Yao +3
The paper proposes a clean‑label backdoor attack that stays dormant during training and becomes active only after specific camouflage samples are removed via machine unlearning, us…
Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data
Pouya Rajabi, Mohsen Toorani
The paper proposes a federated learning framework for clinical EEG data that uses masking‑based secure aggregation and related cryptographic techniques to protect individual model…
Implementing Homomorphic Encryption-Based Logic Locking in System-on-Chip Designs
Ye Ziyang, Makoto Ikeda
The paper proposes a logic locking scheme for RISC‑V system‑on‑chip designs that uses the binary Ring‑LWE homomorphic encryption algorithm to protect privileged logic paths without…
Checking Information Flow in Cloud-based IoT Access Control Policies (Extended Version)
Lorenzo Ceragioli, Letterio Galletta, Edoardo Lunati
The paper presents a method to detect unwanted information flow in cloud‑based IoT access control policies by modeling AWS IoT Core components and using an SMT‑based analysis tool…
Open Security Benchmark: Towards Autonomous Enterprise Cyber Defense
Gal Engelberg, Michael Arenzon, Leon Goldberg
The paper introduces the Open Security Benchmark (OSB), a framework that provides a frozen, holistic enterprise security dataset and evaluation tools for testing autonomous AI agen…
InkShield: Writing Style Protection Against Unauthorized Handwriting Mimicry
Jian Xiong, Wenbo Jiang, Zihan Wang +4
InkShield introduces a proactive defense that adds subtle, stroke‑confined perturbations to handwritten reference images, making it harder for handwriting generators to mimic a wri…
ToxScreen: Detecting Whether an LLM Has Been Poisoned
Anthony Hughes, Nicole Xing, Collin Francel +2
The paper introduces ToxScreen, a benchmark of backdoored large language models, and evaluates methods for recovering hidden triggers under realistic defender constraints, finding…
QUIC-TRIP: A Triple-Redundant Journey Toward Secure Substation Communications
Jorge David de Hoz Diego, Ioannis Zografopoulos, Anca Jurcut
The paper presents QUIC-TRIP, a transport‑layer security method that adds low‑latency, triple‑redundant protection to substation communication protocols like R‑GOOSE without modify…
Recover, Decode, Reguard: Guard-Agnostic Defense Amplification againstEncoded VLM Jailbreaks
Haoyu Zhang, Zhuoxi Wang, Shibo Zheng +4
The paper proposes a guard‑agnostic recovery‑and‑decode module that transcribes encoded or visual text into plain language before applying existing safety classifiers for vision‑la…
Guarding Organizations Against Malware Risk: A Novel Graph-Based Malware Detection Method
Yinan Gao, Jiarong Xu, Xiaohang Zhao +1
The paper introduces MalGuard, a graph‑based malware detection system that groups basic blocks into operational roles and learns expressive program‑graph representations to improve…
Graph Is the Verifier: Agentic Reinforcement Learning for Interprocedural Vulnerability Detection
Yikun Li, Ting Zhang, Jiakun Liu +9
The paper presents VulAgentRL, an agentic reinforcement learning framework that leverages code property graphs to collect interprocedural evidence and verify its own reasoning for…
Not In My Git Yard: Catching Backdoors at Commit and Release Time
Dimitri Kokkonis, Michaël Marcozzi, Stefano Zacchiroli
The paper introduces Lily, a tool that automatically detects hidden backdoors in open‑source code during commit and release stages by combining CI‑compatible fuzzing with code‑chan…
FARI: Robust One-Step Inversion for Watermarking in Diffusion Models
Jindong Yang, Han Fang, Weiming Zhang +2
The paper introduces FARI, a fast one-step inversion method combined with lightweight adversarial LoRA fine-tuning to robustly extract watermarks from diffusion-generated images, a…
Verifiable Random Sampling
Yeoh Wei Zhu, Soorya Rethinasamy, Anthony Alexiades Armenakas +3
The paper introduces verifiable random sampling (VRS), a cryptographic primitive that uses random quantum circuit sampling to produce publicly verifiable, fresh random samples, add…
SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response
Lehan Wang, Boli Chen, Ruixue Ding +7
The paper presents SecRespond, a benchmark that evaluates large language model agents on post-compromise incident‑response tasks using forensic disk snapshots, alerts, and vulnerab…