Stereoscopic Universal Perturbations across Different Architectures and Datasets

12 December 2021

Papers citing "Stereoscopic Universal Perturbations across Different Architectures and Datasets"

8 / 8 papers shown

Title
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions Ziyao Zeng Yangchao Wu Hyoungseob Park Daniel Wang Fengyu Yang Stefano Soatto Dong Lao Byung-Woo Hong Alex Wong MDE 20 7 0 03 Oct 2024
Improving Adversarial Robustness via Decoupled Visual Representation Masking Decheng Liu Tao Chen Chunlei Peng Nannan Wang Ruimin Hu Xinbo Gao AAML 45 1 0 16 Jun 2024
Bag of Tricks for FGSM Adversarial Training Zichao Li Li Liu Zeyu Wang Yuyin Zhou Cihang Xie AAML 23 6 0 06 Sep 2022
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks Tianwei Liu Yu Yang Baharan Mirzasoleiman AAML 20 27 0 14 Aug 2022
Not Just Streaks: Towards Ground Truth for Single Image Deraining Yunhao Ba Howard Zhang Ethan Yang Akira Suzuki Arnold Pfahnl ... C. Melo Suya You Stefano Soatto A. Wong A. Kadambi 30 39 0 22 Jun 2022
Dynamic Spatial Propagation Network for Depth Completion Y. Lin T. Cheng Qianglong Zhong Wending Zhou Huanhuan Yang 44 115 0 20 Feb 2022
PENet: Towards Precise and Efficient Image Guided Depth Completion Mu Hu Shuling Wang Bin Li Shiyu Ning Li Fan Xiaojin Gong MDE 100 273 0 01 Mar 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016