Saved in:
| Main Authors: | Hassan, Shayan Ali, Ni, Tao, Qazi, Zafar Ayyub, Canini, Marco |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.08062 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data
by: Du, Xuefeng, et al.
Published: (2024)
by: Du, Xuefeng, et al.
Published: (2024)
Rethinking Image Compression on the Web with Generative AI
by: Hassan, Shayan Ali, et al.
Published: (2024)
by: Hassan, Shayan Ali, et al.
Published: (2024)
Breaking Obfuscation: Cluster-Aware Graph with LLM-Aided Recovery for Malicious JavaScript Detection
by: Liang, Zhihong, et al.
Published: (2025)
by: Liang, Zhihong, et al.
Published: (2025)
Toward More Generalized Malicious URL Detection Models
by: Tsai, YunDa, et al.
Published: (2022)
by: Tsai, YunDa, et al.
Published: (2022)
PIShield: Detecting Prompt Injection Attacks via Intrinsic LLM Features
by: Zou, Wei, et al.
Published: (2025)
by: Zou, Wei, et al.
Published: (2025)
Exploiting Leaderboards for Large-Scale Distribution of Malicious Models
by: Suri, Anshuman, et al.
Published: (2025)
by: Suri, Anshuman, et al.
Published: (2025)
CleanBase: Detecting Malicious Documents in RAG Knowledge Databases
by: Jin, Weifei, et al.
Published: (2026)
by: Jin, Weifei, et al.
Published: (2026)
FraudFox: Adaptable Fraud Detection in the Real World
by: Butler, Matthew, et al.
Published: (2026)
by: Butler, Matthew, et al.
Published: (2026)
GasTrace: Detecting Sandwich Attack Malicious Accounts in Ethereum
by: Liu, Zekai, et al.
Published: (2024)
by: Liu, Zekai, et al.
Published: (2024)
Malicious Internet Entity Detection Using Local Graph Inference
by: Mandlik, Simon, et al.
Published: (2024)
by: Mandlik, Simon, et al.
Published: (2024)
FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients
by: Zhang, Jianyi, et al.
Published: (2025)
by: Zhang, Jianyi, et al.
Published: (2025)
FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation
by: Xhemrishi, Marvin, et al.
Published: (2023)
by: Xhemrishi, Marvin, et al.
Published: (2023)
PDFInspect: A Unified Feature Extraction Framework for Malicious Document Detection
by: P, Sharmila S
Published: (2026)
by: P, Sharmila S
Published: (2026)
Robustness Against Adversarial Attacks via Learning Confined Adversarial Polytopes
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
Localizing Malicious Outputs from CodeLLM
by: Borana, Mayukh, et al.
Published: (2025)
by: Borana, Mayukh, et al.
Published: (2025)
Continuous Multi-Task Pre-training for Malicious URL Detection and Webpage Classification
by: Li, Yujie, et al.
Published: (2024)
by: Li, Yujie, et al.
Published: (2024)
WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT
by: Tian, Ye, et al.
Published: (2025)
by: Tian, Ye, et al.
Published: (2025)
MalRAG: A Retrieval-Augmented LLM Framework for Open-set Malicious Traffic Identification
by: Luo, Xiang, et al.
Published: (2025)
by: Luo, Xiang, et al.
Published: (2025)
A Consensus-Bayesian Framework for Detecting Malicious Activity in Enterprise Directory Access Graphs
by: Uppuluri, Pratyush, et al.
Published: (2026)
by: Uppuluri, Pratyush, et al.
Published: (2026)
ML Study of MaliciousTransactions in Ethereum
by: Katz, Natan
Published: (2024)
by: Katz, Natan
Published: (2024)
From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories
by: Tian, Ye, et al.
Published: (2025)
by: Tian, Ye, et al.
Published: (2025)
Detecting Malicious AI Agents Through Simulated Interactions
by: Pi, Yulu, et al.
Published: (2025)
by: Pi, Yulu, et al.
Published: (2025)
How Not to Detect Prompt Injections with an LLM
by: Choudhary, Sarthak, et al.
Published: (2025)
by: Choudhary, Sarthak, et al.
Published: (2025)
Malicious URL Detection using optimized Hist Gradient Boosting Classifier based on grid search method
by: Maftoun, Mohammad, et al.
Published: (2024)
by: Maftoun, Mohammad, et al.
Published: (2024)
One Detector Fits All: Robust and Adaptive Detection of Malicious Packages from PyPI to Enterprises
by: Montaruli, Biagio, et al.
Published: (2025)
by: Montaruli, Biagio, et al.
Published: (2025)
Token-Efficient Change Detection in LLM APIs
by: Chauvin, Timothée, et al.
Published: (2026)
by: Chauvin, Timothée, et al.
Published: (2026)
A New Dataset and Methodology for Malicious URL Classification
by: Schvartzman, Ilan, et al.
Published: (2024)
by: Schvartzman, Ilan, et al.
Published: (2024)
Multi-Agent Systems Execute Arbitrary Malicious Code
by: Triedman, Harold, et al.
Published: (2025)
by: Triedman, Harold, et al.
Published: (2025)
Towards Quantum Machine Learning for Malicious Code Analysis
by: Lopez, Jesus, et al.
Published: (2025)
by: Lopez, Jesus, et al.
Published: (2025)
RobPI: Robust Private Inference against Malicious Client
by: Xue, Jiaqi, et al.
Published: (2026)
by: Xue, Jiaqi, et al.
Published: (2026)
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning
by: Mozaffari, Hamid, et al.
Published: (2024)
by: Mozaffari, Hamid, et al.
Published: (2024)
Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering Detection
by: Di Gennaro, Marco, et al.
Published: (2025)
by: Di Gennaro, Marco, et al.
Published: (2025)
Hybrid Machine Learning Approach For Real-Time Malicious Url Detection Using Som-Rmo And Rbfn With Tabu Search Optimization
by: T, Swetha, et al.
Published: (2024)
by: T, Swetha, et al.
Published: (2024)
FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis
by: Asadi, Zahra, et al.
Published: (2026)
by: Asadi, Zahra, et al.
Published: (2026)
Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates
by: Yue, Kai, et al.
Published: (2025)
by: Yue, Kai, et al.
Published: (2025)
eDySec: A Deep Learning-based Explainable Dynamic Analysis Framework for Detecting Malicious Packages in PyPI Ecosystem
by: Mehedi, Sk Tanzir, et al.
Published: (2026)
by: Mehedi, Sk Tanzir, et al.
Published: (2026)
XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT
by: Aslam, Ambreen, et al.
Published: (2026)
by: Aslam, Ambreen, et al.
Published: (2026)
Adversarial Distilled Retrieval-Augmented Guarding Model for Online Malicious Intent Detection
by: Guo, Yihao, et al.
Published: (2025)
by: Guo, Yihao, et al.
Published: (2025)
Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
by: Peng, Songtao, et al.
Published: (2025)
by: Peng, Songtao, et al.
Published: (2025)
Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation
by: Halawi, Danny, et al.
Published: (2024)
by: Halawi, Danny, et al.
Published: (2024)
Similar Items
-
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data
by: Du, Xuefeng, et al.
Published: (2024) -
Rethinking Image Compression on the Web with Generative AI
by: Hassan, Shayan Ali, et al.
Published: (2024) -
Breaking Obfuscation: Cluster-Aware Graph with LLM-Aided Recovery for Malicious JavaScript Detection
by: Liang, Zhihong, et al.
Published: (2025) -
Toward More Generalized Malicious URL Detection Models
by: Tsai, YunDa, et al.
Published: (2022) -
PIShield: Detecting Prompt Injection Attacks via Intrinsic LLM Features
by: Zou, Wei, et al.
Published: (2025)