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cs.CR2026
DETOUR: A Practical Backdoor Attack against Object Detection
Dazhuang Liu, Yanqi Qiao, Rui Wang +2
Object detection (OD) is critical to real-world vision systems, yet existing backdoor attacks on detection transformers (DETRs) for OD tasks rely on patch-wise triggers optimized a…
cs.CR2024
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm
Dazhuang Liu, Yanqi Qiao, Rui Wang +2
Current black-box backdoor attacks in convolutional neural networks formulate attack objective(s) as single-objective optimization problems in single domain. Designing triggers in…
cs.CR2020
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 +2
Traditional steganalysis methods generally include two steps: feature extraction and classification.A variety of steganalysis algorithms based on CNN (Convolutional Neural Network)…