:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Heibel, John, Lowd, Daniel
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence I.2.2
Online Access:	https://arxiv.org/abs/2407.11072
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks
by: Kurian, Ashley, et al.
Published: (2025)

Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset
by: Palit, Sayon, et al.
Published: (2025)

Biometrics Employing Neural Network
by: Bhuiyan, Sajjad
Published: (2024)

Guardians of the Web: The Evolution and Future of Website Information Security
by: Islam, Md Saiful, et al.
Published: (2025)

Mitigating the Impact of Malware Evolution on API Sequence-based Windows Malware Detector
by: Wei, Xingyuan, et al.
Published: (2024)

Eliminating Backdoors in Neural Code Models for Secure Code Understanding
by: Sun, Weisong, et al.
Published: (2024)

Toward Intelligent and Secure Cloud: Large Language Model Empowered Proactive Defense
by: Zhou, Yuyang, et al.
Published: (2024)

PromptSAM+: Malware Detection based on Prompt Segment Anything Model
by: Wei, Xingyuan, et al.
Published: (2024)

Seeing Is Not Always Believing: Invisible Collision Attack and Defence on Pre-Trained Models
by: Deng, Minghang, et al.
Published: (2023)

Impact of Phonetics on Speaker Identity in Adversarial Voice Attack
by: Dar, Daniyal Kabir, et al.
Published: (2025)

A Self-Improving Architecture for Dynamic Safety in Large Language Models
by: Slater, Tyler
Published: (2025)

Temporal Attack Pattern Detection in Multi-Agent AI Workflows: An Open Framework for Training Trace-Based Security Models
by: Del Rosario, Ron F.
Published: (2025)

Adversarial Attacks on Large Language Models Using Regularized Relaxation
by: Chacko, Samuel Jacob, et al.
Published: (2024)

PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices
by: Chattopadhyay, Nandish, et al.
Published: (2026)

Mitigating Trojanized Prompt Chains in Educational LLM Use Cases: Experimental Findings and Detection Tool Design
by: Charles, Richard M., et al.
Published: (2025)

Real AI Agents with Fake Memories: Fatal Context Manipulation Attacks on Web3 Agents
by: Patlan, Atharv Singh, et al.
Published: (2025)

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization
by: Zhou, Xueyang, et al.
Published: (2025)

Hacking, The Lazy Way: LLM Augmented Pentesting
by: Goyal, Dhruva, et al.
Published: (2024)

MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks
by: Zhou, Yuyang, et al.
Published: (2023)

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks
by: Gidatkar, Taniya, et al.
Published: (2025)

Orion: Fuzzing Workflow Automation
by: Bazalii, Max, et al.
Published: (2025)

Efficient LLM Safety Evaluation through Multi-Agent Debate
by: Lin, Dachuan, et al.
Published: (2025)

An Intelligent Native Network Slicing Security Architecture Empowered by Federated Learning
by: Moreira, Rodrigo, et al.
Published: (2024)

Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?
by: Xin, Yuan, et al.
Published: (2025)

Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems
by: Hackett, William, et al.
Published: (2025)

The Quantum State Continuity Problem and Temporal Enforcement Against Fork Attacks
by: Ünsal, Samet
Published: (2025)

VFLAIR-LLM: A Comprehensive Framework and Benchmark for Split Learning of LLMs
by: Gu, Zixuan, et al.
Published: (2025)

Adversarial Feeds Steer LLM Agent Decisions Against Their Defaults
by: Usman, Rana Muhammad
Published: (2026)

Privacy-preserving Universal Adversarial Defense for Black-box Models
by: Li, Qiao, et al.
Published: (2024)

Blind Spots in the Guard: How Domain-Camouflaged Injection Attacks Evade Detection in Multi-Agent LLM Systems
by: Pai, Aaditya
Published: (2026)

Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation
by: Anderson, Maya, et al.
Published: (2024)

Exploiting Latent Space Discontinuities for Building Universal LLM Jailbreaks and Data Extraction Attacks
by: Paim, Kayua Oleques, et al.
Published: (2025)

Safeguarding Efficacy in Large Language Models: Evaluating Resistance to Human-Written and Algorithmic Adversarial Prompts
by: Downey-Webb, Tiarnaigh, et al.
Published: (2025)

CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities
by: Zhu, Yuxuan, et al.
Published: (2025)

Power-Softmax: Towards Secure LLM Inference over Encrypted Data
by: Zimerman, Itamar, et al.
Published: (2024)

Combating Phone Scams with LLM-based Detection: Where Do We Stand?
by: Shen, Zitong, et al.
Published: (2024)

Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies
by: Cotti, Luca, et al.
Published: (2025)

Large Language Models are Autonomous Cyber Defenders
by: Castro, Sebastián R., et al.
Published: (2025)

NatGVD: Natural Adversarial Example Attack towards Graph-based Vulnerability Detection
by: Rath, Avilash, et al.
Published: (2025)

TrojanTime: Backdoor Attacks on Time Series Classification
by: Dong, Chang, et al.
Published: (2025)