Copertina

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lin, Zilong, Li, Zichuan, Liao, Xiaojing, Wang, XiaoFeng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Malla: Demystifying Real-world Large Language Model Integrated Malicious Services
di: Lin, Zilong, et al.
Pubblicazione: (2024)

MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion
di: Lin, Zilong, et al.
Pubblicazione: (2023)

Maris: A Formally Verifiable Privacy Policy Enforcement Paradigm for Multi-Agent Collaboration Systems
di: Cui, Jian, et al.
Pubblicazione: (2025)

Les Dissonances: Cross-Tool Harvesting and Polluting in Pool-of-Tools Empowered LLM Agents
di: Li, Zichuan, et al.
Pubblicazione: (2025)

The Imitation Game: Using Large Language Models as Chatbots to Combat Chat-Based Cybercrimes
di: Yao, Yifan, et al.
Pubblicazione: (2025)

Understanding the Security Risks of Decentralized Exchanges by Uncovering Unfair Trades in the Wild
di: Chen, Jiaqi, et al.
Pubblicazione: (2024)

An Automated Attack Investigation Approach Leveraging Threat-Knowledge-Augmented Large Language Models
di: Dai, Rujie, et al.
Pubblicazione: (2025)

The Use of Large Language Models (LLM) for Cyber Threat Intelligence (CTI) in Cybercrime Forums
di: Clairoux-Trepanier, Vanessa, et al.
Pubblicazione: (2024)

Stealthy Peers: Understanding Security Risks of WebRTC-Based Peer-Assisted Video Streaming
di: Tang, Siyuan, et al.
Pubblicazione: (2022)

Rethinking Side-Channel Analysis: Automated Discovery and Analysis of Side-Channel Leakage with LLM-Assisted Agents
di: Xu, Zhen, et al.
Pubblicazione: (2026)

LocalAlign: Enabling Generalizable Prompt Injection Defense via Generation of Near-Target Adversarial Examples for Alignment Training
di: Gong, Yuyang, et al.
Pubblicazione: (2026)

Clues in Tweets: Twitter-Guided Discovery and Analysis of SMS Spam
di: Tang, Siyuan, et al.
Pubblicazione: (2022)

Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX
di: Wang, Wenhao, et al.
Pubblicazione: (2017)

IndirectAD: Practical Data Poisoning Attacks against Recommender Systems for Item Promotion
di: Wang, Zihao, et al.
Pubblicazione: (2025)

Picachv: Formally Verified Data Use Policy Enforcement for Secure Data Analytics
di: Chen, Haobin Hiroki, et al.
Pubblicazione: (2025)

HarnessAgent: Scaling Automatic Fuzzing Harness Construction with Tool-Augmented LLM Pipelines
di: Yang, Kang, et al.
Pubblicazione: (2025)

LineBreaker: Finding Token-Inconsistency Bugs with Large Language Models
di: Chen, Hongbo, et al.
Pubblicazione: (2024)

Improving Cybercrime Detection and Digital Forensics Investigations with Artificial Intelligence
di: Sanna, Silvia Lucia, et al.
Pubblicazione: (2025)

Steering in the Shadows: Causal Amplification for Activation Space Attacks in Large Language Models
di: Xu, Zhiyuan, et al.
Pubblicazione: (2025)

Disassembling Obfuscated Executables with LLM
di: Rong, Huanyao, et al.
Pubblicazione: (2024)

Misrouter: Exploiting Routing Mechanisms for Input-Only Attacks on Mixture-of-Experts LLMs
di: Fei, Zekun, et al.
Pubblicazione: (2026)

BEACON: A Unified Behavioral-Tactical Framework for Explainable Cybercrime Analysis with Large Language Models
di: Sachdeva, Arush, et al.
Pubblicazione: (2025)

STRIKE: A Structured Taxonomy of Cybercrime for Risk, Impact, Knowledge, and Evolution
di: Pappy, Melissa, et al.
Pubblicazione: (2026)

LLM-Enhanced Software Patch Localization
di: Yu, Jinhong, et al.
Pubblicazione: (2024)

A Smart City Infrastructure Ontology for Threats, Cybercrime, and Digital Forensic Investigation
di: Tok, Yee Ching, et al.
Pubblicazione: (2024)

Cybercrime as a Service: A Scoping Review
di: Mauko, Ema, et al.
Pubblicazione: (2026)

SoK: Understanding Vulnerabilities in the Large Language Model Supply Chain
di: Wang, Shenao, et al.
Pubblicazione: (2025)

Topical Shifts in the Dark Web: A Longitudinal Analysis of Content from the Cybercrime Ecosystem
di: Ricaldi, Roy, et al.
Pubblicazione: (2026)

A Survey on Privacy Risks and Protection in Large Language Models
di: Chen, Kang, et al.
Pubblicazione: (2025)

A Comprehensive Analytical Review on Cybercrime in West Africa
di: Adewopo, Victor, et al.
Pubblicazione: (2024)

BOLT: Bandwidth-Optimized Lightning-Fast Oblivious Map powered by Secure HBM Accelerators
di: Guo, Yitong, et al.
Pubblicazione: (2025)

Automated Classification of Cybercrime Complaints using Transformer-based Language Models for Hinglish Texts
di: Rani, Nanda, et al.
Pubblicazione: (2024)

The Early Bird Catches the Leak: Unveiling Timing Side Channels in LLM Serving Systems
di: Song, Linke, et al.
Pubblicazione: (2024)

Different Cybercrimes and their Solution for Common People
di: Tamang, S., et al.
Pubblicazione: (2024)

GenBreak: Red Teaming Text-to-Image Generators Using Large Language Models
di: Wang, Zilong, et al.
Pubblicazione: (2025)

Real-CATS: A Practical Training Ground for Emerging Research on Cryptocurrency Cybercrime Detection
di: Shi, Jiadong, et al.
Pubblicazione: (2025)

A-MemGuard: A Proactive Defense Framework for LLM-Based Agent Memory
di: Wei, Qianshan, et al.
Pubblicazione: (2025)

The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks
di: Chen, Xiaoyi, et al.
Pubblicazione: (2023)

Identifying Key Expert Actors in Cybercrime Forums Based on their Technical Expertise
di: Ruellan, Estelle, et al.
Pubblicazione: (2025)

Weaponization of Conscience in Cybercrime and Online Fraud: A Novel Systems Theory
di: Espinoza, Michelle
Pubblicazione: (2024)