Alvin Chan

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All published works

Action	Title	Year	Authors
+	RNA alternative splicing prediction with discrete compositional energy network	2021	Alvin Chan Anna Korsakova Yew-Soon Ong Fernaldo Richtia Winnerdy Kah Wai Lim Anh Tuân Phan
+	Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters	2021	Aston Zhang Yi Tay Shuai Zhang Alvin Chan Anh Tuan Luu Siu Cheung Hui Jie Fu
+	Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters	2021	Aston Zhang Yi Tay Shuai Zhang Alvin Chan Anh Tuan Luu Siu Cheung Hui Jie Fu
+	RNA Alternative Splicing Prediction with Discrete Compositional Energy Network	2021	Alvin Chan Anna Korsakova Yew-Soon Ong Fernaldo Richtia Winnerdy Kah Wai Lim Anh Tuân Phan
+	Deep Extrapolation for Attribute-Enhanced Generation	2021	Alvin Chan Ali Madani Ben Krause Nikhil Naik
+	FastTrees: Parallel Latent Tree-Induction for Faster Sequence Encoding	2021	Bill Tuck Weng Pung Alvin Chan
+	ORCHARD: A Benchmark For Measuring Systematic Generalization of Multi-Hierarchical Reasoning	2021	Bill Tuck Weng Pung Alvin Chan
+ PDF Chat	Player Identification in Hockey Broadcast Videos	2020	Alvin Chan Martin D. Levine Mehrsan Javan
+ PDF Chat	What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients	2020	Alvin Chan Yi Tay Yew-Soon Ong
+	Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder	2020	Alvin Chan Yi Tay Yew-Soon Ong Aston Zhang
+	Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder	2020	Alvin Chan Yi Tay Yew-Soon Ong Aston Zhang
+	CoCon: A Self-Supervised Approach for Controlled Text Generation	2020	Alvin Chan Yew-Soon Ong Bill Tuck Weng Pung Aston Zhang Jie Fu
+	Jacobian Adversarially Regularized Networks for Robustness	2019	Alvin Chan Yi Tay Yew-Soon Ong Jie Fu
+	Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks	2019	Alvin Chan Yew-Soon Ong
+	What it Thinks is Important is Important: Robustness Transfers through Input Gradients	2019	Alvin Chan Yi Tay Yew-Soon Ong
+	Jacobian Adversarially Regularized Networks for Robustness	2019	Alvin Chan Yi Tay Yew-Soon Ong Jie Fu
+	Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer	2018	Alvin Chan Lei Ma Felix Juefei-Xu Xiaofei Xie Yang Liu Yew-Soon Ong

Common Coauthors

Coauthor	Papers Together
Yew-Soon Ong	11
Yi Tay	8
Jie Fu	5
Aston Zhang	5
Bill Tuck Weng Pung	3
Siu Cheung Hui	2
Anh Tuan Luu	2
Anna Korsakova	2
Kah Wai Lim	2
Fernaldo Richtia Winnerdy	2
Shuai Zhang	2
Anh Tuân Phan	2
Xiaofei Xie	1
Nikhil Naik	1
Yang Liu	1
Lei Ma	1
Felix Juefei-Xu	1
Ben Krause	1
Martin D. Levine	1
Mehrsan Javan	1
Ali Madani	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	5
+	Adversarial Logit Pairing	2018	Harini Kannan Alexey Kurakin Ian Goodfellow	4
+	Semidefinite relaxations for certifying robustness to adversarial examples	2018	Aditi Raghunathan Jacob Steinhardt Percy Liang	4
+ PDF Chat	Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization	2018	Daniel Jakubovitz Raja Giryes	4
+	Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation	2017	Matthias Hein Maksym Andriushchenko	4
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	4
+ PDF Chat	Feature Denoising for Improving Adversarial Robustness	2019	Cihang Xie Yuxin Wu Laurens van der Maaten Alan Yuille Kaiming He	4
+ PDF Chat	StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation	2018	Yunjey Choi Minje Choi Munyoung Kim Jung-Woo Ha Sunghun Kim Jaegul Choo	4
+	Robustness May Be at Odds with Accuracy	2018	Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Mądry	4
+	On the Connection Between Adversarial Robustness and Saliency Map Interpretability	2019	Christian Etmann Sebastian Lunz Peter Maaß Carola‐Bibiane Schönlieb	4
+	Toward Controlled Generation of Text	2017	Zhiting Hu Zichao Yang Xiaodan Liang Ruslan Salakhutdinov Eric P. Xing	4
+	On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models	2018	Sven Gowal Krishnamurthy Dvijotham Robert Stanforth Rudy Bunel Chongli Qin Jonathan Uesato Relja Arandjelović Timothy Mann Pushmeet Kohli	4
+	Theoretically Principled Trade-off between Robustness and Accuracy	2019	Hongyang Zhang Yaodong Yu Jiantao Jiao Eric P. Xing Laurent El Ghaoui Michael I. Jordan	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Adversarial training for free	2019	Ali Shafahi Mahyar Najibi Mohammad Ghiasi Zheng Xu John P. Dickerson Christoph Studer Larry S. Davis Gavin Taylor Tom Goldstein	4
+	Understanding Black-box Predictions via Influence Functions	2017	Pang Wei Koh Percy Liang	3
+	Towards Deep Learning Models Resistant to Adversarial Attacks	2017	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	3
+	Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack	2019	Francesco Croce Matthias Hein	3
+	Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training	2019	Haichao Zhang Jianyu Wang	3
+	A large annotated corpus for learning natural language inference	2015	Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning	3
+	Generating Natural Adversarial Examples	2017	Zhengli Zhao Dheeru Dua Sameer Singh	3
+	XLNet: Generalized Autoregressive Pretraining for Language Understanding	2019	Zhilin Yang Zihang Dai Yiming Yang Jaime Carbonell Ruslan Salakhutdinov Quoc V. Le	3
+	BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain	2017	Tianyu Gu Brendan Dolan-Gavitt Siddharth Garg	3
+	Poisoning Attacks against Support Vector Machines	2012	Battista Biggio Blaine Nelson Pavel Laskov	3
+	Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning	2017	Xinyun Chen Chang Liu Bo Li Kimberly Lu Dawn Song	3
+	Technical Report on the CleverHans v2.1.0 Adversarial Examples Library	2016	Nicolas Papernot Fartash Faghri Nicholas Carlini Ian Goodfellow Reuben Feinman Alexey Kurakin Cihang Xie Yash Sharma T. B. Brown Aurko Roy	3
+	Certified Defenses for Data Poisoning Attacks	2017	Jacob Steinhardt Pang Wei Koh Percy Liang	3
+	Towards Deep Learning Models Resistant to Adversarial Attacks.	2018	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	3
+	Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples	2018	Anish Athalye Nicholas Carlini David Wagner	3
+	Turning your weakness into a strength: watermarking deep neural networks by backdooring	2018	Yossi Adi Carsten Baum Moustapha Cissé Benny Pinkas Joseph Keshet	3
+ PDF Chat	Support vector machines under adversarial label contamination	2015	Xiao Huang Battista Biggio Blaine Nelson Han Xiao Claudia Eckert Fabio Roli	3
+ PDF Chat	Crafting adversarial input sequences for recurrent neural networks	2016	Nicolas Papernot Patrick McDaniel Ananthram Swami Richard Harang	3
+ PDF Chat	Quaternion Recurrent Neural Networks	2019	Titouan Parcollet Mirco Ravanelli Mohamed Morchid Georges Linarès Chiheb Trabelsi Renato De Mori Yoshua Bengio	2
+ PDF Chat	Deflecting Adversarial Attacks with Pixel Deflection	2018	Aaditya Prakash Nick Moran Solomon Garber Antonella DiLillo James A. Storer	2
+ PDF Chat	Deep Quaternion Networks	2018	Chase J. Gaudet Anthony S. Maida	2
+	Tree-structured composition in neural networks without tree-structured architectures	2015	Samuel R. Bowman Christopher D. Manning Christopher Potts	2
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	2
+	HotFlip: White-Box Adversarial Examples for NLP	2017	Javid Ebrahimi Anyi Rao Daniel Lowd Dejing Dou	2
+	Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks	2019	Yi Tay Aston Zhang Luu Anh Tuan Jinfeng Rao Shuai Zhang Shuohang Wang Jie Fu Siu Cheung Hui	2
+ PDF Chat	Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser	2018	Fangzhou Liao Ming Liang Yinpeng Dong Tianyu Pang Xiaolin Hu Jun Zhu	2
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	2
+	On Evaluating Adversarial Robustness	2019	Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Mądry Alexey Kurakin	2
+	Adversarially robust transfer learning	2019	Ali Shafahi Parsa Saadatpanah Chen Zhu Amin Ghiasi Christoph Studer David Jacobs Tom Goldstein	2
+	Diagnosing and Enhancing VAE Models	2019	Bin Dai David Wipf	2
+ PDF Chat	Quaternion Convolutional Neural Networks	2018	Xuanyu Zhu Yi Xu Hongteng Xu Changjian Chen	2
+ PDF Chat	Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders	2019	Andrew Drozdov Patrick Verga Mohit Yadav Mohit Iyyer Andrew McCallum	2
+ PDF Chat	A Decomposable Attention Model for Natural Language Inference	2016	Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit	2
+	Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples	2016	Nicolas Papernot Patrick McDaniel Ian Goodfellow	2
+	Neural Networks with Complex and Quaternion Inputs	2006	Adityan Rishiyur	2
+	Adversarial Examples for Evaluating Reading Comprehension Systems	2017	Robin Jia Percy Liang	2