MULDEF: Multi-model-based Defense Against Adversarial Examples for
Neural Networks

v1v2v3 (latest)

MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks

31 August 2018

Siwakorn Srisakaokul

ArXiv (abs)PDF HTML

Papers citing "MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks"

11 / 11 papers shown

Title
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments Simon Queyrut V. Schiavoni Pascal Felber AAML FedML 74 9 0 13 Sep 2023
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning Simon Queyrut Yérom-David Bromberg V. Schiavoni FedML AAML 68 1 0 08 Aug 2023
GFCL: A GRU-based Federated Continual Learning Framework against Data Poisoning Attacks in IoV Anum Talpur M. Gurusamy AAML 113 0 0 23 Apr 2022
On the Certified Robustness for Ensemble Models and Beyond Zhuolin Yang Linyi Li Xiaojun Xu B. Kailkhura Tao Xie Yue Liu AAML 103 50 0 22 Jul 2021
Software Engineering for AI-Based Systems: A Survey Silverio Martínez-Fernández Justus Bogner Xavier Franch Marc Oriol Julien Siebert Adam Trendowicz Anna Maria Vollmer Stefan Wagner 110 231 0 05 May 2021
On the Robustness of Vision Transformers to Adversarial Examples Kaleel Mahmood Rigel Mahmood Marten van Dijk ViT 140 225 0 31 Mar 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS Felix O. Olowononi D. Rawat Chunmei Liu 95 138 0 14 Feb 2021
Increasing the Confidence of Deep Neural Networks by Coverage Analysis Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 71 15 0 28 Jan 2021
Robust Deep Learning Ensemble against Deception Wenqi Wei Ling Liu AAML 68 29 0 14 Sep 2020
BUZz: BUffer Zones for defending adversarial examples in image classification Kaleel Mahmood Phuong Ha Nguyen Lam M. Nguyen THANH VAN NGUYEN Marten van Dijk AAML 52 6 0 03 Oct 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 177 1,497 0 10 Jan 2019