A Classification-by-Retrieval Framework for Few-Shot Anomaly Detection to Detect API Injection Attacks
Authors: Udi Aharon, Ran Dubin, Amit Dvir, Chen Hajaj | Published: 2024-05-18 | Updated: 2024-09-15
モデル性能評価
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
Authors: Yunlong Zhao, Xiaoheng Deng, Yijing Liu, Xinjun Pei, Jiazhi Xia, Wei Chen | Published: 2024-05-18
DoLLM: How Large Language Models Understanding Network Flow Data to Detect Carpet Bombing DDoS
Authors: Qingyang Li, Yihang Zhang, Zhidong Jia, Yannan Hu, Lei Zhang, Jianrong Zhang, Yongming Xu, Yong Cui, Zongming Guo, Xinggong Zhang | Published: 2024-05-13
Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions
Authors: Rudolf Ferenc, Péter Hegedűs, Péter Gyimesi, Gábor Antal, Dénes Bán, Tibor Gyimóthy | Published: 2024-05-12
LLMPot: Automated LLM-based Industrial Protocol and Physical Process Emulation for ICS Honeypots
Authors: Christoforos Vasilatos, Dunia J. Mahboobeh, Hithem Lamri, Manaar Alam, Michail Maniatakos | Published: 2024-05-09
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
Authors: Pasan Dissanayake, Sanghamitra Dutta | Published: 2024-05-08 | Updated: 2024-11-05
Unlearning Backdoor Attacks through Gradient-Based Model Pruning
Authors: Kealan Dunnett, Reza Arablouei, Dimity Miller, Volkan Dedeoglu, Raja Jurdak | Published: 2024-05-07
Detecting Android Malware: From Neural Embeddings to Hands-On Validation with BERTroid
Authors: Meryam Chaieb, Mostafa Anouar Ghorab, Mohamed Aymen Saied | Published: 2024-05-06 | Updated: 2024-08-12
Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks
Authors: Yi Li, Renyou Xie, Chaojie Li, Yi Wang, Zhaoyang Dong | Published: 2024-04-30
Exploring the Robustness of In-Context Learning with Noisy Labels
Authors: Chen Cheng, Xinzhi Yu, Haodong Wen, Jingsong Sun, Guanzhang Yue, Yihao Zhang, Zeming Wei | Published: 2024-04-28 | Updated: 2024-05-01