We focus our attacks on classifiers based on static features due to their prevalence in providing pre-execution detection and prevention for many
sec21fall-severi.pdf
protect customers from these attacks, and it feels like this process will never paper we introduce backdoors as a mean of attacking and gaining access
short07.pdf
DeepSweep leverages data augmentation to protect DNN models Data augmentation [46] adopts various image transformations to enrich the datasets It has become a
asiaccs2021-2.pdf
backdoor attacks in deep reinforcement learning of only one to prevent it from winning We prototype BACKDOORL in about 1700 lines of Python
0509.pdf
14 mai 2021 · Backdoor attacks recently brought a new class of deep neural network backdoored models based on their boundary thickness and boundary
EECS-2021-78.pdf