Toward Robust Spiking Neural Network Against Adversarial Perturbation

von LIANG, LING
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 14 of 50 (2023)

REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs

von Ding, Caiwen
Veröffentlicht in ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (27. : 2019 : Seaside, Calif.) FPGA'19 (2019)

ZO-ADAMM: ZEROTH-ORDER ADAPTIVE MOMENTUM METHOD FOR BLACK-BOX OPTIMIZATION

von Chen, Xiangyi
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 10 of 20 (2020)

A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks

von Zhang, Huan
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 32 of 33 (2023)

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification

von Wang, Shiqi
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 36 of 36 (2022)

ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers

von Han, Husheng
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 34 of 36 (2022)

General Cutting Planes for Bound-Propagation-Based Neural Network Verification

von Zhang, Huan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 3 of 50 (2023)

Adversarial T-Shirt! Evading Person Detectors in a Physical World

von Xu, Kaidi
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 5 (2020)

AUTOMATIC PERTURBATION ANALYSIS FOR SCALABLE CERTIFIED ROBUSTNESS AND BEYOND

von Xu, Kaidi
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 2 of 27 (2021)