This implies that adversarial training can be a principled defense method against delusive poisoning. To further understand the internal mechanism of the ...
It is shown that minimizing adversarial risk on the poison data is equivalent to optimizing an upper bound of natural risk on the original data, ...
This implies that adversarial training can be a principled defense method against delusive poisoning. To further understand the internal mechanism of the ...
This implies that adversarial training can be a principled defense method against delusive poisoning. To further understand the internal mechanism of the ...
2021/02/09 · This implies that adversarial training can serve as a principled defense against delusive attacks. Thus, the test accuracy decreased by ...
2020/06/26 · Against general poisoning attacks, where no prior certified defenses exists, DPA can certify >= 50% of test images against over 500 poison image ...
含まれない: Delusive | 必須にする:Delusive
... original clean data, implying adversarial training can guarantee performance on clean data and defend against delusive poisoning.
We investigate the implications that the existence of non-robust features have on data-poisoning attacks. We hypothesize that adversarial examples might poison ...
2024/08/20 · Provable Defense Against Delusive Poisoning. CoRR abs/2102.04716 (2021). [i5]. view. electronic edition @ arxiv.org (open access) · references ...
Provable Defense Against Delusive Poisoning · An Approach for Poisoning Attacks Against RNN-Based Cyber Anomaly Detection · Backdoor Scanning for Deep Neural ...