Unlearnable Algorithms for In-context Learning
Authors: Andrei Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas Papernot | Published: 2024-02-01
アルゴリズム
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks
Authors: Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang | Published: 2024-01-27 | Updated: 2024-05-22
Training Differentially Private Ad Prediction Models with Semi-Sensitive Features
Authors: Lynn Chua, Qiliang Cui, Badih Ghazi, Charlie Harrison, Pritish Kamath, Walid Krichene, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash Varadarajan, Chiyuan Zhang | Published: 2024-01-26
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
Authors: Xintao Xia, Linjun Zhang, Zhanrui Cai | Published: 2024-01-16
Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-hoc Network (VANET) Communications
Authors: Thanh Nguyen Canh, Xiem HoangVan | Published: 2024-01-16
Smuche: Scalar-Multiplicative Caching in Homomorphic Encryption
Authors: Dongfang Zhao | Published: 2023-12-26
Towards an in-depth detection of malware using distributed QCNN
Authors: Tony Quertier, Grégoire Barrué | Published: 2023-12-19
Android Malware Detection with Unbiased Confidence Guarantees
Authors: Harris Papadopoulos, Nestoras Georgiou, Charalambos Eliades, Andreas Konstantinidis | Published: 2023-12-17
Adversarial Attacks on Combinatorial Multi-Armed Bandits
Authors: Rishab Balasubramanian, Jiawei Li, Prasad Tadepalli, Huazheng Wang, Qingyun Wu, Haoyu Zhao | Published: 2023-10-08 | Updated: 2024-06-04
Performance evaluation of Machine learning algorithms for Intrusion Detection System
Authors: Sudhanshu Sekhar Tripathy, Bichitrananda Behera | Published: 2023-10-01