A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks

25 October 2022

Papers citing "A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks"

6 / 6 papers shown

Title
The Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retraining Murat Kuzlu Ferhat Ozgur Catak Umit Cali Evren Çatak Ozgur Guler AAML 53 9 0 16 Feb 2022
Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction Ferhat Ozgur Catak Evren Çatak Murat Kuzlu Umit Cali Devrim Unal AAML 56 45 0 09 May 2021
Towards Self-learning Edge Intelligence in 6G Yong Xiao Guangming Shi Yingyu Li Walid Saad H. Vincent Poor 66 93 0 01 Oct 2020
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 310 12,069 0 19 Jun 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 543 5,897 0 08 Jul 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014