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The "code'' of Ethics:A Holistic Audit of AI Code Generators

The "code'' of Ethics:A Holistic Audit of AI Code Generators

22 May 2023
Wanlun Ma
Yiliao Song
Minhui Xue
Sheng Wen
Yang Xiang
ArXiv (abs)PDFHTML

Papers citing "The "code'' of Ethics:A Holistic Audit of AI Code Generators"

29 / 29 papers shown
Title
Multi-lingual Evaluation of Code Generation Models
Multi-lingual Evaluation of Code Generation Models
Ben Athiwaratkun
Sanjay Krishna Gouda
Zijian Wang
Xiaopeng Li
Yuchen Tian
...
Baishakhi Ray
Parminder Bhatia
Sudipta Sengupta
Dan Roth
Bing Xiang
ELM
145
172
0
26 Oct 2022
CERT: Continual Pre-Training on Sketches for Library-Oriented Code
  Generation
CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation
Daoguang Zan
Bei Chen
Dejian Yang
Zeqi Lin
Minsu Kim
Bei Guan
Yongji Wang
Weizhu Chen
Jian-Guang Lou
62
121
0
14 Jun 2022
InCoder: A Generative Model for Code Infilling and Synthesis
InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried
Armen Aghajanyan
Jessy Lin
Sida I. Wang
Eric Wallace
Freda Shi
Ruiqi Zhong
Wen-tau Yih
Luke Zettlemoyer
M. Lewis
SyDa
69
647
0
12 Apr 2022
Quantifying Privacy Risks of Masked Language Models Using Membership
  Inference Attacks
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks
Fatemehsadat Mireshghallah
Kartik Goyal
Archit Uniyal
Taylor Berg-Kirkpatrick
Reza Shokri
MIALM
57
164
0
08 Mar 2022
Competition-Level Code Generation with AlphaCode
Competition-Level Code Generation with AlphaCode
Yujia Li
David Choi
Junyoung Chung
Nate Kushman
Julian Schrittwieser
...
Esme Sutherland Robson
Pushmeet Kohli
Nando de
Koray Kavukcuoglu
Oriol Vinyals
138
1,403
0
08 Feb 2022
Fooling MOSS Detection with Pretrained Language Models
Fooling MOSS Detection with Pretrained Language Models
Stella Biderman
Edward Raff
DeLMO
37
36
0
19 Jan 2022
Efficient Large Scale Language Modeling with Mixtures of Experts
Efficient Large Scale Language Modeling with Mixtures of Experts
Mikel Artetxe
Shruti Bhosale
Naman Goyal
Todor Mihaylov
Myle Ott
...
Jeff Wang
Luke Zettlemoyer
Mona T. Diab
Zornitsa Kozareva
Ves Stoyanov
MoE
186
196
0
20 Dec 2021
Membership Inference Attacks From First Principles
Membership Inference Attacks From First Principles
Nicholas Carlini
Steve Chien
Milad Nasr
Shuang Song
Andreas Terzis
Florian Tramèr
MIACVMIALM
83
704
0
07 Dec 2021
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
Yangruibo Ding
Luca Buratti
Saurabh Pujar
Alessandro Morari
Baishakhi Ray
Saikat Chakraborty
53
36
0
08 Oct 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq Joty
Guosheng Lin
289
1,580
0
02 Sep 2021
Program Synthesis with Large Language Models
Program Synthesis with Large Language Models
Jacob Austin
Augustus Odena
Maxwell Nye
Maarten Bosma
Henryk Michalewski
...
Ellen Jiang
Carrie J. Cai
Michael Terry
Quoc V. Le
Charles Sutton
ELMAIMatReCodALM
195
1,986
0
16 Aug 2021
Understanding Failures in Out-of-Distribution Detection with Deep
  Generative Models
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Lily H. Zhang
Mark Goldstein
Rajesh Ranganath
OODD
170
105
0
14 Jul 2021
Evaluating Large Language Models Trained on Code
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELMALM
231
5,539
0
07 Jul 2021
Measuring Coding Challenge Competence With APPS
Measuring Coding Challenge Competence With APPS
Dan Hendrycks
Steven Basart
Saurav Kadavath
Mantas Mazeika
Akul Arora
...
Collin Burns
Samir Puranik
Horace He
Basel Alomair
Jacob Steinhardt
ELMAIMatALM
251
681
0
20 May 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
114
437
0
14 Mar 2021
Unified Pre-training for Program Understanding and Generation
Unified Pre-training for Program Understanding and Generation
Wasi Uddin Ahmad
Saikat Chakraborty
Baishakhi Ray
Kai-Wei Chang
132
766
0
10 Mar 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
450
2,096
0
31 Dec 2020
Further Analysis of Outlier Detection with Deep Generative Models
Further Analysis of Outlier Detection with Deep Generative Models
Ziyu Wang
Bin Dai
David Wipf
Jun Zhu
67
39
0
25 Oct 2020
PyMT5: multi-mode translation of natural language and Python code with
  transformers
PyMT5: multi-mode translation of natural language and Python code with transformers
Colin B. Clement
Dawn Drain
Jonathan Timcheck
Alexey Svyatkovskiy
Neel Sundaresan
62
154
0
07 Oct 2020
Captum: A unified and generic model interpretability library for PyTorch
Captum: A unified and generic model interpretability library for PyTorch
Narine Kokhlikyan
Vivek Miglani
Miguel Martin
Edward Wang
B. Alsallakh
...
Alexander Melnikov
Natalia Kliushkina
Carlos Araya
Siqi Yan
Orion Reblitz-Richardson
FAtt
133
843
0
16 Sep 2020
Adversarial Watermarking Transformer: Towards Tracing Text Provenance
  with Data Hiding
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
Sahar Abdelnabi
Mario Fritz
WaLM
48
151
0
07 Sep 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Zhangyin Feng
Daya Guo
Duyu Tang
Nan Duan
Xiaocheng Feng
...
Linjun Shou
Bing Qin
Ting Liu
Daxin Jiang
Ming Zhou
162
2,637
0
19 Feb 2020
Radioactive data: tracing through training
Radioactive data: tracing through training
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
77
75
0
03 Feb 2020
Automatic Detection of Generated Text is Easiest when Humans are Fooled
Automatic Detection of Generated Text is Easiest when Humans are Fooled
Daphne Ippolito
Daniel Duckworth
Chris Callison-Burch
Douglas Eck
DeLMO
88
358
0
02 Nov 2019
Input complexity and out-of-distribution detection with likelihood-based
  generative models
Input complexity and out-of-distribution detection with likelihood-based generative models
Joan Serrà
David Álvarez
Vicencc Gómez
Olga Slizovskaia
José F. Núñez
Jordi Luque
OODD
146
276
0
25 Sep 2019
Defending Against Neural Fake News
Defending Against Neural Fake News
Rowan Zellers
Ari Holtzman
Hannah Rashkin
Yonatan Bisk
Ali Farhadi
Franziska Roesner
Yejin Choi
AAML
123
1,029
0
29 May 2019
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data
  In Your Machine Translation System?
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?
Sorami Hisamoto
Matt Post
Kevin Duh
MIACVSLR
58
106
0
11 Apr 2019
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OODFAtt
188
5,989
0
04 Mar 2017
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLRMIALMMIACV
261
4,135
0
18 Oct 2016
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