Unleashing the Tiger: Inference Attacks on Split Learning
Authors: Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi | Published: 2020-12-04 | Updated: 2021-11-04
攻撃手法
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers
Authors: Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus | Published: 2020-12-03 | Updated: 2021-03-09
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization
Authors: Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan | Published: 2020-10-24 | Updated: 2021-11-30
Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic Traders
Authors: Elior Nehemya, Yael Mathov, Asaf Shabtai, Yuval Elovici | Published: 2020-10-19 | Updated: 2021-09-02
GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment
Authors: Aref Asvadishirehjini, Murat Kantarcioglu, Bradley Malin | Published: 2020-10-17
An Analysis of Robustness of Non-Lipschitz Networks
Authors: Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang | Published: 2020-10-13 | Updated: 2023-04-18
Data Analytics-enabled Intrusion Detection: Evaluations of ToN_IoT Linux Datasets
Authors: Nour Moustafa, Mohiuddin Ahmed, Sherif Ahmed | Published: 2020-10-04
Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses
Authors: Shiliang Zuo | Published: 2020-08-21 | Updated: 2024-03-14
Defending Distributed Classifiers Against Data Poisoning Attacks
Authors: Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie | Published: 2020-08-21
Towards Class-Oriented Poisoning Attacks Against Neural Networks
Authors: Bingyin Zhao, Yingjie Lao | Published: 2020-07-31 | Updated: 2021-10-11