Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense
Authors: Jay N. Paranjape, Rahul Kumar Dubey, Vijendran V Gopalan | Published: 2020-06-02
Attack Type
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
Authors: Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu | Published: 2020-04-22 | Updated: 2020-04-23
Advanced Evasion Attacks and Mitigations on Practical ML-Based Phishing Website Classifiers
Authors: Yusi Lei, Sen Chen, Lingling Fan, Fu Song, Yang Liu | Published: 2020-04-15
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Authors: Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla | Published: 2020-03-28 | Updated: 2020-08-19
Survey of Attacks and Defenses on Edge-Deployed Neural Networks
Authors: Mihailo Isakov, Vijay Gadepally, Karen M. Gettings, Michel A. Kinsy | Published: 2019-11-27
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
Authors: Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong | Published: 2019-11-26 | Updated: 2021-11-21
Assessing Supply Chain Cyber Risks
Authors: Alberto Redondo, Alberto Torres-Barrán, David Ríos Insua, Jordi Domingo | Published: 2019-11-26
Network Intrusion Detection based on LSTM and Feature Embedding
Authors: Hyeokmin Gwon, Chungjun Lee, Rakun Keum, Heeyoul Choi | Published: 2019-11-26
The Naked Sun: Malicious Cooperation Between Benign-Looking Processes
Authors: Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini | Published: 2019-11-06
On Inferring Training Data Attributes in Machine Learning Models
Authors: Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Raghav Bhaskar, Mohamed Ali Kaafar | Published: 2019-08-28 | Updated: 2019-10-12