Apr 13, 2022 � We critically examine the robustness of existing backdoor countermeasures with an initial focus on three influential model-inspection ones.

Oct 13, 2023 � This work highlights the necessity of thoroughly evaluating the robustness of backdoor countermeasures to avoid their misleading security implications.

Apr 13, 2022 � This work highlights the necessity of thoroughly evaluating the robustness of backdoor countermeasures to avoid their misleading security.

6 days ago � This work highlights the necessity of thoroughly evaluating the robustness of backdoor countermeasures to avoid their misleading security�...

This work is, for the first time, towards revealing the non-robust cases of existing backdoor countermeasures. As the methodology behind each backdoor detection�...

Towards A Critical Evaluation of Robustness for Deep Learning Backdoor Countermeasures ; Author. Gao, Garrison ORCID ID icon ; Hua, Ma ; Zhang, Zhi ; Abuadbba,�...

Sep 21, 2023 � This work, for the first time, initializes the critical examination of the robustness or applicability of existing state-of-the-art (SOTA) DL backdoor defenses.

Jul 9, 2024 � Adversarial attacks against conventional Deep Learning (DL) systems and algorithms have been widely studied, and various defenses were proposed.

This work, for the first time, initializes the critical examination of the robustness or applicability of existing state-of-the-art (SOTA) DL backdoor defenses�...

H Qiu, Towards a critical evaluation of robustness for deep learning backdoor countermeasures; G Tao, Model orthogonalization: Class distance hardening in�...