Byung‐Kwan Lee

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All published works

Action	Title	Year	Authors
+ PDF Chat	Are Vision-Language Models Truly Understanding Multi-vision Sensor?	2024	Sangyun Chung Youngjoon Yu Youngchae Chee Se Yeon Kim Byung‐Kwan Lee Yong Man Ro
+ PDF Chat	VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models	2024	Byung‐Kwan Lee Ryo Hachiuma Yu-Chiang Frank Wang Yong Man Ro Yueh-Hua Wu
+ PDF Chat	Phantom of Latent for Large Language and Vision Models	2024	Byung‐Kwan Lee Sangyun Chung Chae Won Kim Beomchan Park Yong Man Ro
+ PDF Chat	TroL: Traversal of Layers for Large Language and Vision Models	2024	Byung‐Kwan Lee Sangyun Chung Chae Won Kim Beomchan Park Yong Man Ro
+ PDF Chat	MoAI: Mixture of All Intelligence for Large Language and Vision Models	2024	Byung‐Kwan Lee Beomchan Park Chae Won Kim Yong Man Ro
+ PDF Chat	CoLLaVO: Crayon Large Language and Vision mOdel	2024	Byung‐Kwan Lee Beomchan Park Chae Won Kim Yong Man Ro
+ PDF Chat	Causal Unsupervised Semantic Segmentation	2024	Junho Kim Byung‐Kwan Lee Yong Man Ro
+ PDF Chat	Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning	2023	Byung‐Kwan Lee Junho Kim Yong Man Ro
+ PDF Chat	Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression	2023	Junho Kim Byung‐Kwan Lee Yong Man Ro
+	Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning	2023	Byung‐Kwan Lee Junho Kim Yong Man Ro
+	Causal Unsupervised Semantic Segmentation	2023	Junho Kim Byung‐Kwan Lee Yong Man Ro
+ PDF Chat	Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network	2022	Byung‐Kwan Lee Junho Kim Yong Man Ro
+	Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck	2022	Junho Kim Byung‐Kwan Lee Yong Man Ro
+	Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network	2022	Byung‐Kwan Lee Junho Kim Yong Man Ro

Common Coauthors

Coauthor	Papers Together
Yong Man Ro	14
Junho Kim	6
Chae Won Kim	4
Beomchan Park	4
Sangyun Chung	3
Yueh-Hua Wu	1
Junho Kim	1
Se Yeon Kim	1
Yu-Chiang Frank Wang	1
Ryo Hachiuma	1
Youngchae Chee	1
Junho Kim	1
Youngjoon Yu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Towards Deep Learning Models Resistant to Adversarial Attacks	2017	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	3
+	Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck	2022	Junho Kim Byung‐Kwan Lee Yong Man Ro	3
+ PDF Chat	IoT Network Security from the Perspective of Adversarial Deep Learning	2019	Yalin E. Sagduyu Yi Shi Tugba Erpek	3
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	3
+	An overview of gradient descent optimization algorithms	2016	Sebastian Ruder	2
+ PDF Chat	Understanding Neural Networks via Feature Visualization: A Survey	2019	Anh‐Tu Nguyen Jason Yosinski Jeff Clune	2
+	Adversarial Robustness as a Prior for Learned Representations	2019	Logan Engstrom Andrew Ilyas Shibani Santurkar Dimitris Tsipras Brandon Tran Aleksander Mądry	2
+ PDF Chat	Cyclical Learning Rates for Training Neural Networks	2017	Leslie N. Smith	2
+	Adversarial Examples Are Not Bugs, They Are Features	2019	Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Mądry	2
+	Adversarial Weight Perturbation Helps Robust Generalization	2020	Dongxian Wu Shu‐Tao Xia Yisen Wang	2
+ PDF Chat	Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network	2022	Byung‐Kwan Lee Junho Kim Yong Man Ro	2
+	A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations	2017	Logan Engstrom Brandon Tran Dimitris Tsipras Ludwig Schmidt Aleksander Mądry	1
+	Optimal sup-norm rates and uniform inference on nonlinear functionals of nonparametric IV regression	2018	Xiaohong Chen Timothy Christensen	1
+ PDF Chat	A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers	2018	Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen Makan Fardad Yanzhi Wang	1
+	Sparse DNNs with Improved Adversarial Robustness	2018	Yiwen Guo Chao Zhang Changshui Zhang Yurong Chen	1
+	To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression	2018	Yiren Zhao Ilia Shumailov Robert Mullins Ross Anderson	1
+	Theoretically Principled Trade-off between Robustness and Accuracy	2019	Hongyang Zhang Yaodong Yu Jiantao Jiao Eric P. Xing Laurent El Ghaoui Michael I. Jordan	1
+	Deep Generalized Method of Moments for Instrumental Variable Analysis	2019	Andrew Bennett Nathan Kallus Tobias Schnabel	1
+	Towards Compact and Robust Deep Neural Networks	2019	Vikash Sehwag Shiqi Wang Prateek Mittal Suman Jana	1
+	EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis	2019	Chaoqi Wang Roger Grosse Sanja Fidler Guodong Zhang	1
+	Noisy Natural Gradient as Variational Inference	2017	Guodong Zhang Shengyang Sun David Duvenaud Roger Grosse	1
+ PDF Chat	Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning	2018	Matthew Jagielski Alina Oprea Battista Biggio Chang Liu Cristina Nita-Rotaru Bo Li	1
+	Learning Structured Sparsity in Deep Neural Networks	2016	Wei Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Li	1
+	Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples	2018	Anish Athalye Nicholas Carlini David T. Wagner	1
+ PDF Chat	Channel Pruning for Accelerating Very Deep Neural Networks	2017	Yihui He Xiangyu Zhang Jian Sun	1
+	Adversarial Machine Learning at Scale	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	1
+	Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon	2017	Xin Dong Shangyu Chen Sinno Jialin Pan	1
+	Robustness May Be at Odds with Accuracy	2018	Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Ma̧dry	1
+ PDF Chat	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation	2018	Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam	1
+	Model Compression with Adversarial Robustness: A Unified Optimization Framework	2019	Shupeng Gui Haotao Wang Chen Yu Haichuan Yang Zhangyang Wang Ji Liu	1
+ PDF Chat	CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features	2019	Sangdoo Yun Dongyoon Han Sanghyuk Chun Seong Joon Oh Youngjoon Yoo Junsuk Choe	1
+	Adversarial Neural Pruning with Latent Vulnerability Suppression	2019	Divyam Madaan Jinwoo Shin Sung Ju Hwang	1
+	Fast is better than free: Revisiting adversarial training	2020	Eric Wong Leslie Rice J. Zico Kolter	1
+	Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks	2020	Francesco Croce Matthias Hein	1
+ PDF Chat	Adversarial Robustness vs. Model Compression, or Both?	2019	Shaokai Ye Kaidi Xu Sijia Liu Hao Cheng Jan-Henrik Lambrechts Huan Zhang Aojun Zhou Kaisheng Ma Yanzhi Wang Xue Lin	1
+ PDF Chat	What’s Hidden in a Randomly Weighted Neural Network?	2020	Vivek Ramanujan Mitchell Wortsman Aniruddha Kembhavi Ali Farhadi Mohammad Rastegari	1
+	Overfitting in adversarially robust deep learning	2020	Eric Wong Leslie Rice Zico Kolter	1
+	Denoising Diffusion Probabilistic Models	2020	Jonathan Ho Ajay N. Jain Pieter Abbeel	1
+	WoodFisher: Efficient Second-Order Approximation for Neural Network Compression	2020	Sidak Pal Singh Dan Alistarh	1
+ PDF Chat	End-to-End Object Detection with Transformers	2020	Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko	1
+	Minimax Estimation of Conditional Moment Models	2020	Nishanth Dikkala Greg Lewis Lester Mackey Vasilis Syrgkanis	1
+ PDF Chat	Estimation of Nonparametric Conditional Moment Models With Possibly Nonsmooth Generalized Residuals	2012	Xiaohong Chen Demián Pouzo	1
+	Double debiased machine learning nonparametric inference with continuous treatments	2019	Ying‐Ying Lee Kyle Colangelo	1
+ PDF Chat	Double/debiased machine learning for treatment and structural parameters	2017	Victor Chernozhukov Denis Chetverikov Mert Demirer Esther Duflo Christian Hansen Whitney K. Newey James M. Robins	1
+ PDF Chat	Orthogonal statistical learning	2023	Dylan J. Foster Vasilis Syrgkanis	1
+	Adversarial Generalized Method of Moments	2018	Greg Lewis Vasilis Syrgkanis	1
+	Exogenous Treatment and Endogenous Factors: Vanishing of Omitted Variable Bias on the Interaction Term	2014	Olena Nizalova Irina Murtazashvili	1
+ PDF Chat	Identification of Causal Effects Using Instrumental Variables	1996	Joshua D. Angrist Guido W. Imbens Donald B. Rubin	1