Zhitao Gong

Generating author description...

All published works

Action	Title	Year	Authors
+	Adversarial and Clean Data Are Not Twins	2023	Zhitao Gong Wenlu Wang
+ PDF Chat	Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects	2019	Michael A. Alcorn Qi Li Zhitao Gong Chengfei Wang Long Mai Wei‐Shinn Ku Anh‐Tu Nguyen
+	Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects	2018	Michael A. Alcorn Qi Li Zhitao Gong Chengfei Wang Long Mai Wei‐Shinn Ku Anh‐Tu Nguyen
+	Adversarial Texts with Gradient Methods	2018	Zhitao Gong Wenlu Wang Bo Li Dawn Song Wei‐Shinn Ku

Common Coauthors

Coauthor	Papers Together
Wei‐Shinn Ku	3
Long Mai	2
Michael A. Alcorn	2
Chengfei Wang	2
Anh‐Tu Nguyen	2
Wenlu Wang	2
Qi Li	1
Qi Li	1
Bo Li	1
Dawn Song	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep neural networks are easily fooled: High confidence predictions for unrecognizable images	2015	Anh‐Tu Nguyen Jason Yosinski Jeff Clune	3
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	2
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	2
+ PDF Chat	DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving	2015	Chenyi Chen Ari Seff Alain L. Kornhauser Jianxiong Xiao	2
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning	2017	Felipe Petroski Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune	2
+	Standard detectors aren't (currently) fooled by physical adversarial stop signs	2017	Jiajun Lu Hussein Sibai Evan Fabry David Forsyth	2
+	A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations	2017	Logan Engstrom Brandon Tran Dimitris Tsipras Ludwig Schmidt Aleksander Mądry	2
+	YOLOv3: An Incremental Improvement.	2018	Joseph Redmon Ali Farhadi	2
+	Why do deep convolutional networks generalize so poorly to small image transformations	2018	Aharon Azulay Yair Weiss	2
+	Adversarial Geometry and Lighting using a Differentiable Renderer	2018	Hsueh‐Ti Derek Liu Michael Tao Chun‐Liang Li Derek Nowrouzezahrai Alec Jacobson	2
+ PDF Chat	Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling	2018	Xingyuan Sun Jiajun Wu Xiuming Zhang Zhoutong Zhang Chengkai Zhang Tianfan Xue Joshua B. Tenenbaum William T. Freeman	2
+ PDF Chat	Geometric Image Synthesis	2019	Hassan Abu Alhaija Siva Karthik Mustikovela Andreas Geiger Carsten Rother	2
+	Adversarial Examples: Attacks and Defenses for Deep Learning	2019	Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li	2
+	PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes	2018	Xiang Yu Tanner Schmidt Venkatraman Narayanan Dieter Fox	2
+ PDF Chat	Learning from Simulated and Unsupervised Images through Adversarial Training	2017	Ashish Shrivastava Tomas Pfister Oncel Tuzel Joshua M. Susskind Wen-Da Wang Russell Y. Webb	2
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	2
+ PDF Chat	One Pixel Attack for Fooling Deep Neural Networks	2019	Jiawei Su Danilo Vargas Kouichi Sakurai	2
+	A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks	2016	Dan Hendrycks Kevin Gimpel	2
+	NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles	2017	Jiajun Lu Hussein Sibai Evan Fabry David Forsyth	2
+	Adversarial examples in the physical world	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	1
+	Why do deep convolutional networks generalize so poorly to small image transformations?	2018	Aharon Azulay Yair Weiss	1
+	Object Recognition with and without Objects	2017	Zhuotun Zhu Lingxi Xie Alan Yuille	1
+	SpatialNLI	2019	Jingjing Li Wenlu Wang Wei‐Shinn Ku Yingtao Tian Haixun Wang	1
+	Synthesizing Robust Adversarial Examples	2017	Anish Athalye Logan Engstrom Andrew Ilyas Kevin Kwok	1
+	Robust Physical-World Attacks on Machine Learning Models.	2017	Ivan Evtimov Kevin Eykholt Earlence Fernandes Tadayoshi Kohno Bo Li Atul Prakash Amir Rahmati Dawn Song	1
+	YOLOv3: An Incremental Improvement	2018	Joseph Redmon Ali Farhadi	1
+	Making Convolutional Networks Shift-Invariant Again	2019	Richard Zhang	1
+	Adversarial Examples: Attacks and Defenses for Deep Learning	2017	Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li	1
+	Foveation-based Mechanisms Alleviate Adversarial Examples	2015	Yan Luo Xavier Boix Gemma Roig Tomaso Poggio Qi Zhao	1
+	LaVAN: Localized and Visible Adversarial Noise	2018	Danny Karmon Daniel Zoran Yoav Goldberg	1
+	Spatially Transformed Adversarial Examples	2018	Chaowei Xiao Jun-Yan Zhu Bo Li Warren He Mingyan Liu Dawn Song	1