Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning
Authors: Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das | Published: 2022-08-14
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Practical Vertical Federated Learning with Unsupervised Representation Learning
Authors: Zhaomin Wu, Qinbin Li, Bingsheng He | Published: 2022-08-13
Unifying Gradients to Improve Real-world Robustness for Deep Networks
Authors: Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang | Published: 2022-08-12 | Updated: 2023-08-24
A Knowledge Distillation-Based Backdoor Attack in Federated Learning
Authors: Yifan Wang, Wei Fan, Keke Yang, Naji Alhusaini, Jing Li | Published: 2022-08-12
Analysis, Detection, and Classification of Android Malware using System Calls
Authors: Shubham Shakya, Mayank Dave | Published: 2022-08-12
Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone
Authors: Aghiles Ait Messaoud, Sonia Ben Mokhtar, Vlad Nitu, Valerio Schiavoni | Published: 2022-08-11 | Updated: 2022-10-15
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
Authors: Thao Nguyen, Gabriel Ilharco, Mitchell Wortsman, Sewoong Oh, Ludwig Schmidt | Published: 2022-08-10 | Updated: 2023-02-01
Explaining Machine Learning DGA Detectors from DNS Traffic Data
Authors: Giorgio Piras, Maura Pintor, Luca Demetrio, Battista Biggio | Published: 2022-08-10
Customized Watermarking for Deep Neural Networks via Label Distribution Perturbation
Authors: Tzu-Yun Chien, Chih-Ya Shen | Published: 2022-08-10
Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark
Authors: Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Mehran Bagheri, Petar Djukic | Published: 2022-08-10