RareGAN: Generating Samples for Rare Classes
Authors: Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar | Published: 2022-03-20
トレーニングデータ生成
The Dark Side: Security Concerns in Machine Learning for EDA
Authors: Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Yiran Chen | Published: 2022-03-20
An integrated Auto Encoder-Block Switching defense approach to prevent adversarial attacks
Authors: Anirudh Yadav, Ashutosh Upadhyay, S. Sharanya | Published: 2022-03-11
Third-Party Hardware IP Assurance against Trojans through Supervised Learning and Post-processing
Authors: Pravin Gaikwad, Jonathan Cruz, Prabuddha Chakraborty, Swarup Bhunia, Tamzidul Hoque | Published: 2021-11-29
Fooling Adversarial Training with Inducing Noise
Authors: Zhirui Wang, Yifei Wang, Yisen Wang | Published: 2021-11-19
Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries
Authors: Moritz Seiler, Heike Trautmann, Pascal Kerschke | Published: 2020-05-27
Hidden Trigger Backdoor Attacks
Authors: Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash | Published: 2019-09-30 | Updated: 2019-12-21
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
Authors: Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, Suman Jana | Published: 2018-07-15 | Updated: 2019-07-12
Deep Learning for Launching and Mitigating Wireless Jamming Attacks
Authors: Tugba Erpek, Yalin E. Sagduyu, Yi Shi | Published: 2018-07-03 | Updated: 2018-12-13