:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gravereaux, Stephen C., Islam, Sheikh Rabiul
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	https://arxiv.org/abs/2511.19654
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explainable Deep Learning Models for Dynamic and Online Malware Classification
by: Card, Quincy, et al.
Published: (2024)

On the Consistency of GNN Explanations for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)

A Transformer-Based Framework for Payload Malware Detection and Classification
by: Stein, Kyle, et al.
Published: (2024)

Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings
by: Sanchez, Ivan Montoya, et al.
Published: (2025)

PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning
by: Li, Shenghui, et al.
Published: (2024)

Routing-Aware Explanations for Mixture of Experts Graph Models in Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2026)

TamperBench: Systematically Stress-Testing LLM Safety Under Fine-Tuning and Tampering
by: Hossain, Saad, et al.
Published: (2026)

Prompt Engineering vs. Fine-Tuning for LLM-Based Vulnerability Detection in Solana and Algorand Smart Contracts
by: Boi, Biagio, et al.
Published: (2025)

MarkTune: Improving the Quality-Detectability Trade-off in Open-Weight LLM Watermarking
by: Zhao, Yizhou, et al.
Published: (2025)

Small Language Models for Phishing Website Detection: Cost, Performance, and Privacy Trade-Offs
by: Goldenits, Georg, et al.
Published: (2025)

A Systematic Evaluation of Parameter-Efficient Fine-Tuning Methods for the Security of Code LLMs
by: Lee, Kiho, et al.
Published: (2025)

Differentiation-Based Extraction of Proprietary Data from Fine-Tuned LLMs
by: Li, Zongjie, et al.
Published: (2025)

BugWhisperer: Fine-Tuning LLMs for SoC Hardware Vulnerability Detection
by: Tarek, Shams, et al.
Published: (2025)

Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
by: Zhao, Shuai, et al.
Published: (2024)

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning
by: Sun, Zhen, et al.
Published: (2024)

CurricuLLM: Designing Personalized and Workforce-Aligned Cybersecurity Curricula Using Fine-Tuned LLMs
by: Nijdam, Arthur, et al.
Published: (2026)

Packet Inspection Transformer: A Self-Supervised Journey to Unseen Malware Detection with Few Samples
by: Stein, Kyle, et al.
Published: (2024)

Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes
by: Kumar, Divyanshu, et al.
Published: (2024)

DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware
by: Sun, Tiezhu, et al.
Published: (2024)

Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors
by: Li, Zi, et al.
Published: (2026)

Obfuscated Memory Malware Detection
by: P, Sharmila S, et al.
Published: (2024)

Persistent Backdoor Attacks under Continual Fine-Tuning of LLMs
by: Cui, Jing, et al.
Published: (2025)

Semantic Preprocessing for LLM-based Malware Analysis
by: Marais, Benjamin, et al.
Published: (2025)

Malware Detection Through Memory Analysis
by: Nassar, Sarah
Published: (2026)

A Unified Evaluation of Learning-Based Similarity Techniques for Malware Detection
by: Prasad, Udbhav, et al.
Published: (2026)

ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models
by: Xie, Jin, et al.
Published: (2025)

DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning
by: Zhang, Junbo, et al.
Published: (2026)

Self-Mined Hardness for Safety Fine-Tuning
by: Gupta, Prakhar, et al.
Published: (2026)

Enhancing Smart Contract Vulnerability Detection in DApps Leveraging Fine-Tuned LLM
by: Bu, Jiuyang, et al.
Published: (2025)

Empirical Quantification of Spurious Correlations in Malware Detection
by: Perasso, Bianca, et al.
Published: (2025)

Leveraging LSTM and GAN for Modern Malware Detection
by: Gupta, Ishita, et al.
Published: (2024)

Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems
by: Gibert, Daniel, et al.
Published: (2024)

Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning
by: Du, Xiaohu, et al.
Published: (2024)

Fine-Tuning Small Language Models for Solution-Oriented Windows Event Log Analysis
by: Akhtar, Siraaj, et al.
Published: (2026)

Analysing Safety Risks in LLMs Fine-Tuned with Pseudo-Malicious Cyber Security Data
by: ElZemity, Adel, et al.
Published: (2025)

Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial Attacks
by: Chang, Chen-Wei, et al.
Published: (2025)

Explainable Malware Detection with Tailored Logic Explained Networks
by: Anthony, Peter, et al.
Published: (2024)

SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines
by: Ponte, Andrea, et al.
Published: (2024)

PrivTune: Efficient and Privacy-Preserving Fine-Tuning of Large Language Models via Device-Cloud Collaboration
by: Liu, Yi, et al.
Published: (2025)

LLM-Driven Feature-Level Adversarial Attacks on Android Malware Detectors
by: Lan, Tianwei, et al.
Published: (2025)