Constructing feature variation coefficients to evaluate feature learning capabilities of convolutional layers in steganographic detection algorithms of spatial domain. - Ru Zhang; Sheng Zou; Jianyi Liu; Bingjie Lin; Dazhuang Liu (CoRR, 2020)

An adaptive penalty-based boundary intersection method for many-objective optimization problem. - Yutao Qi; Dazhuang Liu; Xiaodong Li 001; Jiaojiao Lei; Xiaoying Xu; Qiguang Miao (Inf. Sci., 2020)

A tri-objective preference-based uniform weight design method using Delaunay triangulation. - Dazhuang Liu; Yutao Qi; Rui Yang; Yi-Ning Quan; Xiaodong Li 001; Qiguang Miao (Soft Comput., 2021)

A Robust Deepfake Video Detection Method based on Continuous Frame Face-swapping. - Dazhuang Liu; Zhen Yang; Ru Zhang; Jianyi Liu (AIIPCC, 2022)

Evolvability degeneration in multi-objective genetic programming for symbolic regression. - Dazhuang Liu; Marco Virgolin; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2022)

FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning. - Yanqi Qiao; Dazhuang Liu; Congwen Chen; Rui Wang 070; Kaitai Liang (CoRR, 2023)

Stealthy Backdoor Attack Against Federated Learning Through Frequency Domain by Backdoor Neuron Constraint and Model Camouflage. - Yanqi Qiao; Dazhuang Liu; Rui Wang 070; Kaitai Liang (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

LADDER: Multi-Objective Backdoor Attack via Evolutionary Algorithm. - Dazhuang Liu; Yanqi Qiao; Rui Wang 070; Kaitai Liang; Georgios Smaragdakis (NDSS, 2025)

Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm. - Yanqi Qiao; Dazhuang Liu; Rui Wang 070; Kaitai Liang (WACV, 2025)