Saved in:
| Main Authors: | Kumar, Prasanna, Soni, Nishank, Munje, Gaurang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.22237 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AI Safeguards, Generative AI and the Pandora Box: AI Safety Measures to Protect Businesses and Personal Reputation
by: Kumar, Prasanna
Published: (2026)
by: Kumar, Prasanna
Published: (2026)
VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation
by: Miculicich, Lesly, et al.
Published: (2025)
by: Miculicich, Lesly, et al.
Published: (2025)
A Validated Prompt Bank for Malicious Code Generation: Separating Executable Weapons from Security Knowledge in 1,554 Consensus-Labeled Prompts
by: Young, Richard J., et al.
Published: (2026)
by: Young, Richard J., et al.
Published: (2026)
FORGE: An LLM-driven Framework for Large-Scale Smart Contract Vulnerability Dataset Construction
by: Chen, Jiachi, et al.
Published: (2025)
by: Chen, Jiachi, et al.
Published: (2025)
LIPPEN: A Lightweight In-Place Pointer Encryption Architecture for Pointer Integrity
by: Iravani, Erfan, et al.
Published: (2026)
by: Iravani, Erfan, et al.
Published: (2026)
Evaluating the Robustness of Large Language Model Safety Guardrails Against Adversarial Attacks
by: Young, Richard J.
Published: (2025)
by: Young, Richard J.
Published: (2025)
DWFS-Obfuscation: Dynamic Weighted Feature Selection for Robust Malware Familial Classification under Obfuscation
by: Wei, Xingyuan, et al.
Published: (2025)
by: Wei, Xingyuan, et al.
Published: (2025)
POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models
by: Shao, Yangguang, et al.
Published: (2025)
by: Shao, Yangguang, et al.
Published: (2025)
Show Me Your Code! Kill Code Poisoning: A Lightweight Method Based on Code Naturalness
by: Sun, Weisong, et al.
Published: (2025)
by: Sun, Weisong, et al.
Published: (2025)
Prompt Fencing: A Cryptographic Approach to Establishing Security Boundaries in Large Language Model Prompts
by: Peh, Steven
Published: (2025)
by: Peh, Steven
Published: (2025)
Benchmarking Large Language Models for IoC Recovery under Adversarial Code Obfuscation and Encryption
by: Morales, Jaime, et al.
Published: (2026)
by: Morales, Jaime, et al.
Published: (2026)
Reducing Information Overload: Because Even Security Experts Need to Blink
by: Kuehn, Philipp, et al.
Published: (2022)
by: Kuehn, Philipp, et al.
Published: (2022)
JavelinGuard: Low-Cost Transformer Architectures for LLM Security
by: Datta, Yash, et al.
Published: (2025)
by: Datta, Yash, et al.
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)
by: Del Rosario, Ron F.
Published: (2025)
Real AI Agents with Fake Memories: Fatal Context Manipulation Attacks on Web3 Agents
by: Patlan, Atharv Singh, et al.
Published: (2025)
by: Patlan, Atharv Singh, et al.
Published: (2025)
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding
by: Mai, Peihua, et al.
Published: (2025)
by: Mai, Peihua, et al.
Published: (2025)
ConfusionPrompt: Practical Private Inference for Online Large Language Models
by: Mai, Peihua, et al.
Published: (2023)
by: Mai, Peihua, et al.
Published: (2023)
sudoLLM: On Multi-role Alignment of Language Models
by: Saha, Soumadeep, et al.
Published: (2025)
by: Saha, Soumadeep, et al.
Published: (2025)
Split-and-Denoise: Protect large language model inference with local differential privacy
by: Mai, Peihua, et al.
Published: (2023)
by: Mai, Peihua, et al.
Published: (2023)
Super Suffixes: Bypassing Text Generation Alignment and Guard Models Simultaneously
by: Adiletta, Andrew, et al.
Published: (2025)
by: Adiletta, Andrew, et al.
Published: (2025)
UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation
by: Geng, Runpeng, et al.
Published: (2025)
by: Geng, Runpeng, et al.
Published: (2025)
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)
by: Verma, Apurv, et al.
Published: (2024)
by: Verma, Apurv, et al.
Published: (2024)
Efficient LLM Safety Evaluation through Multi-Agent Debate
by: Lin, Dachuan, et al.
Published: (2025)
by: Lin, Dachuan, et al.
Published: (2025)
PromptSAM+: Malware Detection based on Prompt Segment Anything Model
by: Wei, Xingyuan, et al.
Published: (2024)
by: Wei, Xingyuan, et al.
Published: (2024)
Countermind: A Multi-Layered Security Architecture for Large Language Models
by: Schwarz, Dominik
Published: (2025)
by: Schwarz, Dominik
Published: (2025)
Lightweight LLMs for Network Attack Detection in IoT Networks
by: Sudasinghe, Piyumi Bhagya, et al.
Published: (2026)
by: Sudasinghe, Piyumi Bhagya, et al.
Published: (2026)
PoTS: Proof-of-Training-Steps for Backdoor Detection in Large Language Models
by: Seddik, Issam, et al.
Published: (2025)
by: Seddik, Issam, et al.
Published: (2025)
Mitigating Trojanized Prompt Chains in Educational LLM Use Cases: Experimental Findings and Detection Tool Design
by: Charles, Richard M., et al.
Published: (2025)
by: Charles, Richard M., et al.
Published: (2025)
Defending against Backdoor Attacks via Module Switching
by: Li, Weijun, et al.
Published: (2025)
by: Li, Weijun, 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)
by: Zhu, Yuxuan, et al.
Published: (2025)
MASH: Evading Black-Box AI-Generated Text Detectors via Style Humanization
by: Gu, Yongtong, et al.
Published: (2026)
by: Gu, Yongtong, et al.
Published: (2026)
Mitigating the Impact of Malware Evolution on API Sequence-based Windows Malware Detector
by: Wei, Xingyuan, et al.
Published: (2024)
by: Wei, Xingyuan, et al.
Published: (2024)
Large Language Models for Combinatorial Optimization of Design Structure Matrix
by: Jiang, Shuo, et al.
Published: (2025)
by: Jiang, Shuo, et al.
Published: (2025)
Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps
by: Chona, Alankrit, et al.
Published: (2026)
by: Chona, Alankrit, et al.
Published: (2026)
Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks
by: Kurian, Ashley, et al.
Published: (2025)
by: Kurian, Ashley, et al.
Published: (2025)
Terrarium: Revisiting the Blackboard for Multi-Agent Safety, Privacy, and Security Studies
by: Nakamura, Mason, et al.
Published: (2025)
by: Nakamura, Mason, et al.
Published: (2025)
VectorSmuggle: Steganographic Exfiltration in Embedding Stores and a Cryptographic Provenance Defense
by: Wanger, Jascha
Published: (2026)
by: Wanger, Jascha
Published: (2026)
Predicting Known Vulnerabilities from Attack Descriptions Using Sentence Transformers
by: Othman, Refat
Published: (2026)
by: Othman, Refat
Published: (2026)
Accelerating Suffix Jailbreak attacks with Prefix-Shared KV-cache
by: Wang, Xinhai, et al.
Published: (2026)
by: Wang, Xinhai, et al.
Published: (2026)
Ignore Me But Don't Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain
by: Jang, Eugene, et al.
Published: (2024)
by: Jang, Eugene, et al.
Published: (2024)
Similar Items
-
AI Safeguards, Generative AI and the Pandora Box: AI Safety Measures to Protect Businesses and Personal Reputation
by: Kumar, Prasanna
Published: (2026) -
VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation
by: Miculicich, Lesly, et al.
Published: (2025) -
A Validated Prompt Bank for Malicious Code Generation: Separating Executable Weapons from Security Knowledge in 1,554 Consensus-Labeled Prompts
by: Young, Richard J., et al.
Published: (2026) -
FORGE: An LLM-driven Framework for Large-Scale Smart Contract Vulnerability Dataset Construction
by: Chen, Jiachi, et al.
Published: (2025) -
LIPPEN: A Lightweight In-Place Pointer Encryption Architecture for Pointer Integrity
by: Iravani, Erfan, et al.
Published: (2026)