LookAhead: Preventing DeFi Attacks via Unveiling Adversarial Contracts
Authors: Shoupeng Ren, Lipeng He, Tianyu Tu, Di Wu, Jian Liu, Kui Ren, Chun Chen | Published: 2024-01-14 | Updated: 2025-04-02
Model Performance Evaluation
When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization
Authors: Zicheng Wang, Tiejin Chen, Qinrun Dai, Yueqi Chen, Hua Wei, Qingkai Zeng | Published: 2024-01-11
Optimized Ensemble Model Towards Secured Industrial IoT Devices
Authors: MohammadNoor Injadat | Published: 2024-01-10
Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis
Authors: Mohammad Hasan, Mohammad Shahriar Rahman, Helge Janicke, Iqbal H. Sarker | Published: 2024-01-07
MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack
Authors: Jiayi Hua, Kailong Wang, Meizhen Wang, Guangdong Bai, Xiapu Luo, Haoyu Wang | Published: 2024-01-05
Facebook Report on Privacy of fNIRS data
Authors: Md Imran Hossen, Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Xiali Hei | Published: 2024-01-01
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning
Authors: Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Matt White, Meikang Qiu | Published: 2023-12-29 | Updated: 2024-06-02
Anticipated Network Surveillance — An extrapolated study to predict cyber-attacks using Machine Learning and Data Analytics
Authors: Aviral Srivastava, Dhyan Thakkar, Sharda Valiveti, Pooja Shah, Gaurang Raval | Published: 2023-12-27
A Learning oriented DLP System based on Classification Model
Authors: Kishu Gupta, Ashwani Kush | Published: 2023-12-21
Towards an in-depth detection of malware using distributed QCNN
Authors: Tony Quertier, Grégoire Barrué | Published: 2023-12-19