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Found 7 papers, 2 papers with code
Skeleton-Guided Instance Separation for Fine-Grained Segmentation in Microscopy
One of the fundamental challenges in microscopy (MS) image analysis is instance segmentation (IS), particularly when segmenting cluster regions where multiple objects of varying sizes and shapes may be connected or even overlapped in arbitrary orientations.
CatchBackdoor: Backdoor Testing by Critical Trojan Neural Path Identification via Differential Fuzzing
Existing DNN testing methods are mainly designed to find incorrect corner case behaviors in adversarial settings but fail to discover the backdoors crafted by strong trojan attacks.
FDA-GAN: Flow-based Dual Attention GAN for Human Pose Transfer
Human pose transfer aims at transferring the appearance of the source person to the target pose.
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks
Motivated by the observation that adversarial examples are due to the non-robust feature learned from the original dataset by models, we propose the concepts of salient feature(SF) and trivial feature(TF).
GraphAttacker: A General Multi-Task GraphAttack Framework
To address this problem, we propose GraphAttacker, a novel generic graph attack framework that can flexibly adjust the structures and the attack strategies according to the graph analysis tasks.
DeepPoison: Feature Transfer Based Stealthy Poisoning Attack
As existing episodes mainly focused on attack success rate with patch-based samples, defense algorithms can easily detect these poisoning samples.
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries
This work proposes a generic evaluation metric ROBY, a novel attack-independent robustness measure based on the model's decision boundaries.
