Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep
Receviers

Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers

4 September 2024

Papers citing "Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers"

18 / 18 papers shown

Title
Rethinking Model Ensemble in Transfer-based Adversarial Attacks Huanran Chen Yichi Zhang Yinpeng Dong Xiao Yang Hang Su Junyi Zhu AAML 55 65 0 16 Mar 2023
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners E. T. Oldewage J. Bronskill Richard Turner 54 3 0 23 Nov 2022
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection Hao Huang Ziyan Chen Huanran Chen Yongtao Wang Ke-Yue Zhang AAML 71 59 0 16 Nov 2022
ML Attack Models: Adversarial Attacks and Data Poisoning Attacks Jing Lin Long Dang Mohamed Rahouti Kaiqi Xiong AAML 44 48 0 06 Dec 2021
Adversarial Examples Make Strong Poisons Liam H. Fowl Micah Goldblum Ping Yeh-Chiang Jonas Geiping Wojtek Czaja Tom Goldstein SILM 80 135 0 21 Jun 2021
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems Alireza Bahramali Milad Nasr Amir Houmansadr Dennis Goeckel Don Towsley AAML 64 55 0 01 Feb 2021
DeepRx: Fully Convolutional Deep Learning Receiver Mikko Honkala D. Korpi Janne M. J. Huttunen 81 137 0 04 May 2020
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks Y. Sagduyu Yi Shi T. Erpek AAML 50 83 0 01 Nov 2019
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection Nir Shlezinger Nariman Farsad Yonina C. Eldar Andrea J. Goldsmith 46 143 0 26 May 2019
Data Poisoning Attacks against Online Learning Yizhen Wang Kamalika Chaudhuri AAML 59 92 0 27 Aug 2018
Improving Transferability of Adversarial Examples with Input Diversity Cihang Xie Zhishuai Zhang Yuyin Zhou Song Bai Jianyu Wang Zhou Ren Alan Yuille AAML 97 1,116 0 19 Mar 2018
Deep Learning for Joint Source-Channel Coding of Text Nariman Farsad Milind Rao Andrea J. Goldsmith 51 348 0 19 Feb 2018
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization Luis Muñoz-González Battista Biggio Ambra Demontis Andrea Paudice Vasin Wongrassamee Emil C. Lupu Fabio Roli AAML 96 630 0 29 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 269 12,029 0 19 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,866 0 09 Mar 2017
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 128 2,194 0 02 Feb 2017
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu D. Song AAML 133 1,731 0 08 Nov 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014