Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples

4 July 2022

Papers citing "Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples"

6 / 6 papers shown

Title
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 24 75 0 29 Dec 2022
From NEA and NIA to NESAS and SCAS: Demystifying the 5G Security Ecosystem A. Michalas Constantinos Patsakis D. Vergados D. Vergados 18 1 0 18 Dec 2022
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 139 68 0 04 May 2021
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks Erwin Quiring Konrad Rieck AAML 46 70 0 19 Mar 2020
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 38 68 0 05 Feb 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,830 0 08 Jul 2016