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Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective.

, , , , , , and . IJCAI, page 3961-3967. ijcai.org, (2019)

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Brain-inspired reverse adversarial examples., , , , , and . CoRR, (2019)Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework., , , , , and . CoRR, (2020)Beamforming Design for Intelligent Reflecting Surface Aided Full-Duplex Relay Systems., , , , and . SAM, page 186-190. IEEE, (2022)ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization., , , , , , and . NeurIPS, page 7202-7213. (2019)General Cutting Planes for Bound-Propagation-Based Neural Network Verification., , , , , , , and . NeurIPS, (2022)Toward Robust Spiking Neural Network Against Adversarial Perturbation., , , , and . NeurIPS, (2022)ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers., , , , , , , , and . NeurIPS, page 28169-28181. (2021)On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method., , , , , , and . ICCV, page 121-130. IEEE, (2019)Structured Adversarial Attack: Towards General Implementation and Better Interpretability., , , , , , , , and . ICLR (Poster), OpenReview.net, (2019)REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs., , , , , and . FPGA, page 33-42. ACM, (2019)