:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Gehao, Bagdasarian, Eugene, Zhai, Juan, Ma, Shiqing
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2507.05512
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Marking Code Without Breaking It: Code Watermarking for Detecting LLM-Generated Code
di: Kim, Jungin, et al.
Pubblicazione: (2025)

Network-Level Prompt and Trait Leakage in Local Research Agents
di: Jeong, Hyejun, et al.
Pubblicazione: (2025)

StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models
di: Jiang, Ya, et al.
Pubblicazione: (2025)

An Empirical Study of Code Obfuscation Practices in the Google Play Store
di: Niroshan, Akila, et al.
Pubblicazione: (2025)

Backdooring Bias ($B^2$) into Stable Diffusion Models
di: Naseh, Ali, et al.
Pubblicazione: (2024)

The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation
di: Zhang, Xiaoyu, et al.
Pubblicazione: (2025)

Self-interpreting Adversarial Images
di: Zhang, Tingwei, et al.
Pubblicazione: (2024)

Can Large Language Models Really Recognize Your Name?
di: Pham, Dzung, et al.
Pubblicazione: (2025)

Throttling Web Agents Using Reasoning Gates
di: Kumar, Abhinav, et al.
Pubblicazione: (2025)

Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
di: Mohseni, Seyedreza, et al.
Pubblicazione: (2024)

False Friends in the Shell: Unveiling the Emoticon Semantic Confusion in Large Language Models
di: Jiang, Weipeng, et al.
Pubblicazione: (2026)

Vaporizer: Breaking Watermarking Schemes for Large Language Model Outputs
di: Ng, Jonathan Hong Jin, et al.
Pubblicazione: (2026)

The Coding Limits of Robust Watermarking for Generative Models
di: Francati, Danilo, et al.
Pubblicazione: (2025)

CODE ACROSTIC: Robust Watermarking for Code Generation
di: Lin, Li, et al.
Pubblicazione: (2025)

Obfuscated Memory Malware Detection
di: P, Sharmila S, et al.
Pubblicazione: (2024)

Mechanistic Interpretability in the Presence of Architectural Obfuscation
di: Florencio, Marcos, et al.
Pubblicazione: (2025)

Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography
di: Shumailov, Ilia, et al.
Pubblicazione: (2025)

Coward: Collision-based OOD Watermarking for Practical Proactive Federated Backdoor Detection
di: Li, Wenjie, et al.
Pubblicazione: (2025)

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks
di: Shahzad, Murtuza, et al.
Pubblicazione: (2026)

Towards Privacy-Preserving LLM Inference via Covariant Obfuscation (Technical Report)
di: Lin, Yu, et al.
Pubblicazione: (2026)

Invariant-based Robust Weights Watermark for Large Language Models
di: Guo, Qingxiao, et al.
Pubblicazione: (2025)

Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks
di: Saha, Shoumik, et al.
Pubblicazione: (2025)

Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language Models
di: Zhang, Shuhao, et al.
Pubblicazione: (2026)

Character-Level Perturbations Disrupt LLM Watermarks
di: Zhang, Zhaoxi, et al.
Pubblicazione: (2025)

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
di: Zhang, Kaiyuan, et al.
Pubblicazione: (2025)

Babel: Jailbreaking Safety Attention via Obfuscation Distribution Optimized Sampling
di: Wang, Ziwei, et al.
Pubblicazione: (2026)

Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
di: Wang, Chenrui, et al.
Pubblicazione: (2025)

Is Your Writing Being Mimicked by AI? Unveiling Imitation with Invisible Watermarks in Creative Writing
di: Zhang, Ziwei, et al.
Pubblicazione: (2025)

Can Reasoning Models Obfuscate Reasoning? Stress-Testing Chain-of-Thought Monitorability
di: Zolkowski, Artur, et al.
Pubblicazione: (2025)

FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation
di: Gu, Hanlin, et al.
Pubblicazione: (2024)

DMark: Order-Agnostic Watermarking for Diffusion Large Language Models
di: Wu, Linyu, et al.
Pubblicazione: (2025)

Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent
di: Shang, Shang, et al.
Pubblicazione: (2024)

Purify Once, Edit Freely: Breaking Image Protections under Model Mismatch
di: Zhao, Qichen, et al.
Pubblicazione: (2026)

TokenMark: A Modality-Agnostic Watermark for Pre-trained Transformers
di: Xu, Hengyuan, et al.
Pubblicazione: (2024)

Large Language Model Watermark Stealing With Mixed Integer Programming
di: Zhang, Zhaoxi, et al.
Pubblicazione: (2024)

An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks
di: Boreiko, Valentyn, et al.
Pubblicazione: (2024)

Edit Distance Robust Watermarks via Indexing Pseudorandom Codes
di: Golowich, Noah, et al.
Pubblicazione: (2024)

Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark
di: Fei, Zekun, et al.
Pubblicazione: (2024)

Output Supervision Can Obfuscate the Chain of Thought
di: Drori, Jacob, et al.
Pubblicazione: (2025)

AgentMark: Utility-Preserving Behavioral Watermarking for Agents
di: Huang, Kaibo, et al.
Pubblicazione: (2026)