Honeyfile Camouflage: Hiding Fake Files in Plain Sight
Fuente:
arXiv
Saved in:
| Main Authors: | Timmer, Roelien C., Liebowitz, David, Nepal, Surya, Kanhere, Salil S. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Contextual Chart Generation for Cyber Deception
by: Nguyen, David D., et al.
Published: (2024)
by: Nguyen, David D., et al.
Published: (2024)
In Vino Veritas and Vulnerabilities: Examining LLM Safety via Drunk Language Inducement
by: Shetty, Anudeex, et al.
Published: (2026)
by: Shetty, Anudeex, et al.
Published: (2026)
Hiding in Plain Sight: Detectability-Aware Antidistillation of Reasoning Models
by: Hartman, Max, et al.
Published: (2026)
by: Hartman, Max, et al.
Published: (2026)
Hiding in Plain Sight: A Steganographic Approach to Stealthy LLM Jailbreaks
by: Geng, Jianing, et al.
Published: (2025)
by: Geng, Jianing, et al.
Published: (2025)
SoK: Practical Aspects of Releasing Differentially Private Graphs
by: D'Silva, Nicholas, et al.
Published: (2026)
by: D'Silva, Nicholas, et al.
Published: (2026)
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning
by: Ali, Hassan, et al.
Published: (2024)
by: Ali, Hassan, et al.
Published: (2024)
Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference
by: Chen, Depeng, et al.
Published: (2024)
by: Chen, Depeng, et al.
Published: (2024)
Adversarial Attacks Against Automated Fact-Checking: A Survey
by: Liu, Fanzhen, et al.
Published: (2025)
by: Liu, Fanzhen, et al.
Published: (2025)
Synthetic Trajectory Generation Through Convolutional Neural Networks
by: Merhi, Jesse, et al.
Published: (2024)
by: Merhi, Jesse, et al.
Published: (2024)
Fooling LLM graders into giving better grades through neural activity guided adversarial prompting
by: Yamamura, Atsushi, et al.
Published: (2024)
by: Yamamura, Atsushi, et al.
Published: (2024)
Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English
by: Abdalla, Omar W., et al.
Published: (2024)
by: Abdalla, Omar W., et al.
Published: (2024)
Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection
by: Zhu, Delong, et al.
Published: (2024)
by: Zhu, Delong, et al.
Published: (2024)
SoK: Can Trajectory Generation Combine Privacy and Utility?
by: Buchholz, Erik, et al.
Published: (2024)
by: Buchholz, Erik, et al.
Published: (2024)
Demo: TOSense -- What Did You Just Agree to?
by: Chen, Xinzhang, et al.
Published: (2025)
by: Chen, Xinzhang, et al.
Published: (2025)
Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images
by: Daw, Arka, et al.
Published: (2024)
by: Daw, Arka, et al.
Published: (2024)
Hiding in Plain Sight: An IoT Traffic Camouflage Framework for Enhanced Privacy
by: Worae, Daniel Adu, et al.
Published: (2025)
by: Worae, Daniel Adu, et al.
Published: (2025)
Human Society-Inspired Approaches to Agentic AI Security: The 4C Framework
by: Abuadbba, Alsharif, et al.
Published: (2026)
by: Abuadbba, Alsharif, et al.
Published: (2026)
What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?
by: Buchholz, Erik, et al.
Published: (2025)
by: Buchholz, Erik, et al.
Published: (2025)
DeepSight: An All-in-One LM Safety Toolkit
by: Zhang, Bo, et al.
Published: (2026)
by: Zhang, Bo, et al.
Published: (2026)
Blind Spots in the Guard: How Domain-Camouflaged Injection Attacks Evade Detection in Multi-Agent LLM Systems
by: Pai, Aaditya
Published: (2026)
by: Pai, Aaditya
Published: (2026)
Synthetic Data for Veterinary EHR De-identification: Benefits, Limits, and Safety Trade-offs Under Fixed Compute
by: Brundage, David
Published: (2026)
by: Brundage, David
Published: (2026)
Mark My Words: Analyzing and Evaluating Language Model Watermarks
by: Piet, Julien, et al.
Published: (2023)
by: Piet, Julien, et al.
Published: (2023)
PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning
by: Fu, Tingchen, et al.
Published: (2024)
by: Fu, Tingchen, et al.
Published: (2024)
Jatmo: Prompt Injection Defense by Task-Specific Finetuning
by: Piet, Julien, et al.
Published: (2023)
by: Piet, Julien, et al.
Published: (2023)
Supporting Artifact Evaluation with LLMs: A Study with Published Security Research Papers
by: Heye, David, et al.
Published: (2026)
by: Heye, David, et al.
Published: (2026)
Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality
by: Hoang, Duy C., et al.
Published: (2024)
by: Hoang, Duy C., et al.
Published: (2024)
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
by: Roth, Tom, et al.
Published: (2021)
by: Roth, Tom, et al.
Published: (2021)
Evading Toxicity Detection with ASCII-art: A Benchmark of Spatial Attacks on Moderation Systems
by: Berezin, Sergey, et al.
Published: (2024)
by: Berezin, Sergey, et al.
Published: (2024)
Large Language Model Sentinel: LLM Agent for Adversarial Purification
by: Lin, Guang, et al.
Published: (2024)
by: Lin, Guang, et al.
Published: (2024)
SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage
by: Dong, Xiaoning, et al.
Published: (2024)
by: Dong, Xiaoning, et al.
Published: (2024)
PassTSL: Modeling Human-Created Passwords through Two-Stage Learning
by: Wang, Yangde, et al.
Published: (2024)
by: Wang, Yangde, et al.
Published: (2024)
Imposter.AI: Adversarial Attacks with Hidden Intentions towards Aligned Large Language Models
by: Liu, Xiao, et al.
Published: (2024)
by: Liu, Xiao, et al.
Published: (2024)
The Fire Thief Is Also the Keeper: Balancing Usability and Privacy in Prompts
by: Shen, Zhili, et al.
Published: (2024)
by: Shen, Zhili, et al.
Published: (2024)
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space
by: Wu, Zongru, et al.
Published: (2024)
by: Wu, Zongru, et al.
Published: (2024)
Goal-guided Generative Prompt Injection Attack on Large Language Models
by: Zhang, Chong, et al.
Published: (2024)
by: Zhang, Chong, et al.
Published: (2024)
Security and Privacy Challenges of Large Language Models: A Survey
by: Das, Badhan Chandra, et al.
Published: (2024)
by: Das, Badhan Chandra, et al.
Published: (2024)
Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs
by: Pu, Rui, et al.
Published: (2024)
by: Pu, Rui, et al.
Published: (2024)
From Vulnerabilities to Remediation: A Systematic Literature Review of LLMs in Code Security
by: Basic, Enna, et al.
Published: (2024)
by: Basic, Enna, et al.
Published: (2024)
Preemptive Answer "Attacks" on Chain-of-Thought Reasoning
by: Xu, Rongwu, et al.
Published: (2024)
by: Xu, Rongwu, et al.
Published: (2024)
Institutional Platform for Secure Self-Service Large Language Model Exploration
by: Bumgardner, V. K. Cody, et al.
Published: (2024)
by: Bumgardner, V. K. Cody, et al.
Published: (2024)
Similar Items
-
Contextual Chart Generation for Cyber Deception
by: Nguyen, David D., et al.
Published: (2024) -
In Vino Veritas and Vulnerabilities: Examining LLM Safety via Drunk Language Inducement
by: Shetty, Anudeex, et al.
Published: (2026) -
Hiding in Plain Sight: Detectability-Aware Antidistillation of Reasoning Models
by: Hartman, Max, et al.
Published: (2026) -
Hiding in Plain Sight: A Steganographic Approach to Stealthy LLM Jailbreaks
by: Geng, Jianing, et al.
Published: (2025) -
SoK: Practical Aspects of Releasing Differentially Private Graphs
by: D'Silva, Nicholas, et al.
Published: (2026)