Miryung Kim

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All published works
Action Title Year Authors
+ PDF Chat PerfGen: Automated Performance Benchmark Generation for Big Data Analytics 2024 Jiyuan Wang
Jason Teoh
Muhammand Ali Gulza
Qian Zhang
Miryung Kim
+ PDF Chat ConServe: Harvesting GPUs for Low-Latency and High-Throughput Large Language Model Serving 2024 Yifan Qiao
Shu Anzai
Shan Yu
Haoran Ma
Yang Wang
Miryung Kim
Harry Xu
+ PDF Chat DistR: Language-Guided Distributed Shared Memory with Fine Granularity, Full Transparency, and Ultra Efficiency 2024 Haoran Ma
Yifan Qiao
S. Liu
Shan Yu
Yuanjiang Ni
Qingda Lu
Jiesheng Wu
Yiying Zhang
Miryung Kim
Harry Xu
+ PDF Chat Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking 2024 Hong Jin Kang
Fabrice Harel-Canada
Muhammad Ali Gulzar
Violet Peng
Miryung Kim
+ PDF Chat Fuzzing MLIR by Synthesizing Custom Mutations 2024 Ben Limpanukorn
Jiyuan Wang
Hong Jin Kang
Eric Zitong Zhou
Miryung Kim
+ PDF Chat Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking 2024 Hong Jin Kang
Fabrice Harel-Canada
Muhammad Ali Gulzar
Nanyun Peng
Miryung Kim
+ PDF Chat A Declarative Metamorphic Testing Framework for Autonomous Driving 2022 Yao Deng
Xi Zheng
Tianyi Zhang
Huai Liu
Guannan Lou
Miryung Kim
Tsong Yueh Chen
+ Canvas: Isolated and Adaptive Swapping for Multi-Applications on Remote Memory 2022 Chenxi Wang
Yifan Qiao
Haoran Ma
Shi Liu
Yiying Zhang
Wenguang Chen
Ravi Netravali
Miryung Kim
Guoqing Xu
+ PDF Chat Sibylvariant Transformations for Robust Text Classification 2022 Fabrice Harel-Canada
Muhammad Ali Gulzar
Nanyun Peng
Miryung Kim
+ Sibylvariant Transformations for Robust Text Classification 2022 Fabrice Harel-Canada
Muhammad Ali Gulzar
Nanyun Peng
Miryung Kim
+ Dorylus: Affordable, Scalable, and Accurate GNN Training over Billion-Edge Graphs 2021 John Thorpe
Yifan Qiao
Jonathan Eyolfson
Shen Teng
Guanzhou Hu
Zhihao Jia
Jinliang Wei
Keval Vora
Ravi Netravali
Miryung Kim
+ PDF Chat Efficient Fuzz Testing for Apache Spark Using Framework Abstraction 2021 Qian Zhang
Jiyuan Wang
Muhammad Ali Gulzar
Rohan Padhye
Miryung Kim
+ Efficient Fuzz Testing for Apache Spark Using Framework Abstraction 2021 Qian Zhang
Jiyuan Wang
Muhammad Ali Gulzar
Rohan Padhye
Miryung Kim
+ Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads 2021 John Thorpe
Yifan Qiao
Jonathan Eyolfson
Shen Teng
Guanzhou Hu
Zhihao Jia
Jinliang Wei
Keval Vora
Ravi Netravali
Miryung Kim
+ PDF Chat An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models 2020 Yao Deng
Xi Zheng
Tianyi Zhang
Chen Chen
Guannan Lou
Miryung Kim
+ An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models 2020 Yao Deng
Xi Zheng
Tianyi Zhang
Chen Chen
Guannan Lou
Miryung Kim
+ An ensemble learning approach for software semantic clone detection 2020 Min Fu
Gang Luo
Xi Zheng
Tianyi Zhang
Dongjin Yu
Miryung Kim
+ A Declarative Metamorphic Testing Framework for Autonomous Driving 2020 Yao Deng
Xi Zheng
Tianyi Zhang
Guannan Lou
Huai liu
Miryung Kim
Tsong Yueh Chen
+ PDF Chat Analyzing and Supporting Adaptation of Online Code Examples 2019 Tianyi Zhang
Di Yang
C.V. Lopes
Miryung Kim
+ PDF Chat Active Inductive Logic Programming for Code Search 2019 Aishwarya Sivaraman
Tianyi Zhang
Guy Van den Broeck
Miryung Kim
+ Analyzing and Supporting Adaptation of Online Code Examples 2019 Tianyi Zhang
Di Yang
Cristina Videira Lopes
Miryung Kim
+ Active Inductive Logic Programming for Code Search 2018 Aishwarya Sivaraman
Tianyi Zhang
Guy Van den Broeck
Miryung Kim
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat SourcererCC: scaling code clone detection to big-code 2016 Hitesh Sajnani
Vaibhav Saini
Jeffrey Svajlenko
Chanchal K. Roy
Cristina Videira Lopes
5
+ PDF Chat Safety Verification of Deep Neural Networks 2017 Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
3
+ End to End Learning for Self-Driving Cars 2016 Mariusz Bojarski
Davide Del Testa
Daniel Dworakowski
Bernhard Firner
Beat Flepp
Prasoon Goyal
Lawrence D. Jackel
Mathew Monfort
Urs MĂĽller
Jiakai Zhang
3
+ Delving into Transferable Adversarial Examples and Black-box Attacks 2016 Yanpei Liu
Xinyun Chen
Chang Liu
Dawn Song
2
+ Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks 2018 Weilin Xu
David Evans
Yanjun Qi
2
+ From query to usable code: an analysis of stack overflow code snippets 2016 Di Yang
Aftab M. Hussain
Cristina Videira Lopes
2
+ Metamorphic Testing: A New Approach for Generating Next Test Cases 2020 Tsong Yueh Chen
Shing-Chi Cheung
Siu-Ming Yiu
2
+ Provable defenses against adversarial examples via the convex outer adversarial polytope 2017 Eric Wong
J. Zico Kolter
2
+ PDF Chat Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks 2016 Nicolas Papernot
Patrick McDaniel
Xi Wu
Somesh Jha
Ananthram Swami
2
+ PDF Chat The Art, Science, and Engineering of Fuzzing: A Survey 2019 Valentin J. M. Manès
Hyung-Seok Han
Choongwoo Han
Sang Kil
Manuel Egele
Edward J. Schwartz
Maverick Woo
2
+ PDF Chat SourcererCC 2016 Hitesh Sajnani
Vaibhav Saini
Jeffrey Svajlenko
Chanchal K. Roy
Cristina Videira Lopes
2
+ Stealing machine learning models via prediction APIs 2016 Florian Tramèr
Fan Zhang
Ari Juels
Michael K. Reiter
Thomas Ristenpart
2
+ PDF Chat Towards Evaluating the Robustness of Neural Networks 2017 Nicholas Carlini
David Wagner
2
+ PDF Chat Full-Speed Fuzzing: Reducing Fuzzing Overhead through Coverage-Guided Tracing 2019 Stefan Nagy
Matthew Hicks
2
+ PDF Chat APE-GAN: Adversarial Perturbation Elimination with GAN 2019 Guoqing Jin
Shiwei Shen
Dongming Zhang
Feng Dai
Yongdong Zhang
2
+ PDF Chat Universal Adversarial Perturbations 2017 Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
Pascal Frossard
2
+ Adversarial Machine Learning at Scale 2016 Alexey Kurakin
Ian Goodfellow
Samy Bengio
2
+ Generating Adversarial Examples with Adversarial Networks 2018 Chaowei Xiao
Bo Li
Jun-Yan Zhu
Warren He
Mingyan Liu
Dawn Song
2
+ PDF Chat Generative Adversarial Perturbations 2018 Omid Poursaeed
Isay Katsman
Bicheng Gao
Serge Belongie
2
+ Learning by transduction 1998 Alex Gammerman
Vladimir Vovk
Vladimir Vapnik
2
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
2
+ PRADA: Protecting Against DNN Model Stealing Attacks 2019 Mika Juuti
Sebastian Szyller
Samuel Marchal
N. Asokan
2
+ PDF Chat Learning Syntactic Program Transformations from Examples 2017 Reudismam Rolim de Sousa
Gustavo Soares
Loris D’Antoni
Oleksandr Polozov
Sumit Gulwani
Rohit Gheyi
Ryo Suzuki
Björn Hartmann
2
+ Efficient Estimation of Word Representations in Vector Space 2013 Tomáš Mikolov
Kai Chen
Greg S. Corrado
Jay B. Dean
2
+ PDF Chat Stack Overflow in Github: Any Snippets There? 2017 Di Yang
Pedro Martins
Vaibhav Saini
Cristina Videira Lopes
2
+ Foolbox v0.8.0: A Python toolbox to benchmark the robustness of machine learning models 2017 Jonas Rauber
Wieland Brendel
Matthias Bethge
2
+ Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples 2016 Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
2
+ PDF Chat Practical Black-Box Attacks against Machine Learning 2017 Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
Somesh Jha
Z. Berkay Celik
Ananthram Swami
2
+ PDF Chat Convergence of Edge Computing and Deep Learning: A Comprehensive Survey 2020 Xiaofei Wang
Yiwen Han
Victor C. M. Leung
Dusit Niyato
Xueqiang Yan
Xu Chen
2
+ PDF Chat Stack Overflow: A code laundering platform? 2017 Le An
Ons Mlouki
Foutse Khomh
Giuliano Antoniol
2
+ Adversarial Examples: Attacks and Defenses for Deep Learning 2019 Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
2
+ PDF Chat Adversarial Examples in the Physical World 2018 Alexey Kurakin
Ian Goodfellow
Samy Bengio
2
+ PDF Chat Leveraging Parallel Data Processing Frameworks with Verified Lifting 2016 M Ahmad
Alvin Cheung
2
+ Countering Adversarial Images using Input Transformations 2017 Chuan Guo
Mayank Rana
Moustapha Cissé
Laurens van der Maaten
2
+ PDF Chat Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications 2018 M Ahmad
Alvin Cheung
2
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
2
+ A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks 2018 Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
2
+ The Effectiveness of Data Augmentation in Image Classification using Deep Learning 2017 Luis Perez
Jason Wang
1
+ mixup: Beyond Empirical Risk Minimization 2017 Hongyi Zhang
Moustapha Cissé
Yann Dauphin
David LĂłpez-Paz
1
+ Random Erasing Data Augmentation 2017 Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
1
+ Improved Regularization of Convolutional Neural Networks with Cutout 2017 Terrance DeVries
Graham W. Taylor
1
+ cleverhans v0.1: an adversarial machine learning library. 2016 Ian Goodfellow
Nicolas Papernot
Patrick McDaniel
1
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ PDF Chat DeepXplore 2017 Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
1
+ Learning a Driving Simulator 2016 Eder Santana
George Hotz
1
+ PDF Chat Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks 2017 Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
1
+ PDF Chat Generating Natural Language Adversarial Examples 2018 Moustafa Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani Srivastava
Kai-Wei Chang
1
+ PDF Chat AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles 2017 Shital Shah
Debadeepta Dey
Chris Lovett
Ashish Kapoor
1
+ Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units 2016 Dan Hendrycks
Kevin Gimpel
1
+ Character-level Convolutional Networks for Text Classification 2015 Xiang Zhang
Junbo Zhao
Yann LeCun
1