Towards Analyzing Semantic Robustness of Deep Neural Networks

9 April 2019

Papers citing "Towards Analyzing Semantic Robustness of Deep Neural Networks"

7 / 7 papers shown

Title
AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations? Shouwei Ruan Hanqin Liu Yao Huang Xiaoqi Wang Caixin Kang Hang Su Yinpeng Dong Xingxing Wei VGen 95 0 0 04 Dec 2024
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation Joshua Vendrow Saachi Jain Logan Engstrom A. Madry OOD 17 34 0 15 Feb 2023
3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor A. Madry 40 40 0 07 Jun 2021
DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image Classifiers Colin Paterson Haoze Wu John M. Grese R. Calinescu C. Păsăreanu Clark W. Barrett AAML 30 21 0 02 Mar 2021
MVTN: Multi-View Transformation Network for 3D Shape Recognition Abdullah Hamdi Silvio Giancola Guohao Li 3DV 3DPC 36 199 0 26 Nov 2020
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds Abdullah Hamdi Sara Rojas Ali K. Thabet Guohao Li AAML 3DPC 28 127 0 01 Dec 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 293 3,112 0 04 Nov 2016