Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches | Paper Citation Record

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This paper cites InProceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InProceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering

Reference 4

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This paper cites doi:10.1109/TSE.2021.3087402 Haipeng Chen, Rui Liu, Noseong Park, and VS Subrahmanian.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches doi:10.1109/TSE.2021.3087402 Haipeng Chen, Rui Liu, Noseong Park, and VS Subrahmanian

Reference 5

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This paper cites InProceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data Mining.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InProceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data Mining

Reference 6

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This paper cites In2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW).

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches In2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)

Reference 10

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This paper cites In Proceedings of the 19th International Conference on Mining Software Repositories.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches In Proceedings of the 19th International Conference on Mining Software Repositories

Reference 13

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This paper cites doi:10.1016/j.infsof.2021.106566 Hazim Hanif and Sergio Maffeis.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches doi:10.1016/j.infsof.2021.106566 Hazim Hanif and Sergio Maffeis

Reference 14

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This paper cites In2022 International joint conference on neural networks (IJCNN).

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches In2022 International joint conference on neural networks (IJCNN)

Reference 15

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This paper cites InProceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InProceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Reference 19

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches In2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Reference 22

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This paper cites InProceedings of the IEEE/ACM 46th International Conference on Software Engineering(Lisbon, Portugal)(ICSE ’24).

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InProceedings of the IEEE/ACM 46th International Conference on Software Engineering(Lisbon, Portugal)(ICSE ’24)

Reference 24

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This paper cites doi:10.1109/ACCESS.2019.2930578 Zhen Li, Deqing Zou, Shouhuai Xu, Hai Jin, Yawei Zhu, and Zhaoxuan Chen.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches doi:10.1109/ACCESS.2019.2930578 Zhen Li, Deqing Zou, Shouhuai Xu, Hai Jin, Yawei Zhu, and Zhaoxuan Chen

Reference 25

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This paper cites InProceedings 2018 Network and Distributed System Security Symposium.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InProceedings 2018 Network and Distributed System Security Symposium

Reference 26

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This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 27

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This paper cites doi:10.1016/j.infsof.2020.106368 Proc.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches doi:10.1016/j.infsof.2020.106368 Proc

Reference 28

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This paper cites In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering(Rochester, MI, USA)(ASE ’22).

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering(Rochester, MI, USA)(ASE ’22)

Reference 29

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This paper cites Towards Explainable Vulnerability Detection with Large Language Models.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches Towards Explainable Vulnerability Detection with Large Language Models

Reference 30

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This paper cites doi:10.1109/MSEC.2022.3176058 Fabio Massacci, Stephan Neuhaus, and Viet Hung Nguyen.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches doi:10.1109/MSEC.2022.3176058 Fabio Massacci, Stephan Neuhaus, and Viet Hung Nguyen

Reference 31

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Reference 34

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This paper cites InProceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InProceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings

Reference 35

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This paper cites doi:10.1007/s10664-015-9408-2 Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, and Xin Xia.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches doi:10.1007/s10664-015-9408-2 Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, and Xin Xia

Reference 36

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This paper cites InProceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering(San Francisco, CA, USA)(ESEC/FSE 2023).

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InProceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering(San Francisco, CA, USA)(ESEC/FSE 2023)

Reference 37

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This paper cites InProceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InProceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Reference 38

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This paper cites doi:10.5555/1267336.1267343 Jalaj Pachouly, Swati Ahirrao, Ketan Kotecha, Ganeshsree Selvachandran, and Ajith Abraham.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches doi:10.5555/1267336.1267343 Jalaj Pachouly, Swati Ahirrao, Ketan Kotecha, Ganeshsree Selvachandran, and Ajith Abraham

Reference 41

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This paper cites doi:10.1016/j.engappai.2022.104773 Shengyi Pan, Lingfeng Bao, Xin Xia, David Lo, and Shanping Li.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches doi:10.1016/j.engappai.2022.104773 Shengyi Pan, Lingfeng Bao, Xin Xia, David Lo, and Shanping Li

Reference 42

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InProceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security

Reference 45

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InProceedings of the 16th International Conference on Mining Software Repositories

Reference 46

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Reference 47

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This paper cites doi:10.1080/00273171.2012.738184 Rebecca Russell, Louis Kim, Lei Hamilton, Tomo Lazovich, Jacob Harer, Onur Ozdemir, Paul Ellingwood, and Marc McConley.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches doi:10.1080/00273171.2012.738184 Rebecca Russell, Louis Kim, Lei Hamilton, Tomo Lazovich, Jacob Harer, Onur Ozdemir, Paul Ellingwood, and Marc McConley

Reference 48

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This paper cites In2018 17th IEEE international conference on machine learning and applications (ICMLA).

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches In2018 17th IEEE international conference on machine learning and applications (ICMLA)

Reference 49

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This paper cites doi:10.1109/TSE.2014.2340398 Martin Shepperd, Qinbao Song, Zhongbin Sun, and Carolyn Mair.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches doi:10.1109/TSE.2014.2340398 Martin Shepperd, Qinbao Song, Zhongbin Sun, and Carolyn Mair

Reference 50

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This paper cites doi:10.1109/TSE.2013.11 Yonghee Shin, Andrew Meneely, Laurie Williams, and Jason Osborne.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches doi:10.1109/TSE.2013.11 Yonghee Shin, Andrew Meneely, Laurie Williams, and Jason Osborne

Reference 51

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches Software Eng.37 (11 2011), 772–787

Reference 52

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches In2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)

Reference 54

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches In2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Reference 55

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches In2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

Reference 56

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InAdvances in Neural Information Processing Systems

Reference 57

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches Unresolved cited work

Reference 117

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches Unresolved cited work

Reference 297

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This paper cites InProceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering(Atlanta, Georgia, USA)(ASE ’07).

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InProceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering(Atlanta, Georgia, USA)(ASE ’07)

Reference 2007

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches In2009 International Conference on Software Testing Verification and Validation

Reference 2009

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InInternational Symposium on Engineering Secure Software and Systems

Reference 2011

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Observation b87fb5cf-36d3-41e0-88eb-f36ce97c83c4 · outbound

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches Unresolved cited work

Reference 2013

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InISSTA 2014, Proceedings of the 2014 International Symposium on Software Testing and Analysis

Reference 2014

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches In2015 IEEE/ACM 12th Working Conference on Mining Software Repositories

Reference 2015

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Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches In2016 IEEE 16th International Working Conference on Source Code Analysis and Manipulation (SCAM)

Reference 2016

Resolution: verified exact; doi, observed 2026-08-07T01:09:13.556015Z

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Observation 8e801920-5833-4241-b556-0989b4b359bd · outbound

This paper cites InProceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InProceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering

Reference 2017

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Observation baf5d852-1880-4756-b8ee-92a226e71d3b · outbound

This paper cites In2018 IEEE 18th International Working Conference on Source Code Analysis and Manipulation (SCAM).

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches In2018 IEEE 18th International Working Conference on Source Code Analysis and Manipulation (SCAM)

Reference 2018

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Observation dced5c11-9d27-47c5-bfe2-4fb0fc0e7422 · outbound

This paper cites Proceedings of the ACM on Programming Languages3, POPL (2019), 1–29.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches Proceedings of the ACM on Programming Languages3, POPL (2019), 1–29

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T01:09:06.060300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1606edc3-e6c4-44c8-af45-a0b3bf167fec · outbound

This paper cites InProceedings of the 17th International Conference on Mining Software Repositories.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InProceedings of the 17th International Conference on Mining Software Repositories

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T01:09:07.267244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19a4b32d-b397-4a0b-b967-d2383a691184 · outbound

This paper cites an unresolved cited work.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches Unresolved cited work

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T01:09:05.940484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c388ab16-d55f-458b-8b17-e65a0eeba30b · outbound

This paper cites Dos and Don'ts of Machine Learning in Computer Security.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches Dos and Don'ts of Machine Learning in Computer Security

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T01:09:06.217807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a00e98b7-df89-4d2c-818a-2e5d6b2fb9c2 · outbound

This paper cites InProceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses(Hong Kong, China)(RAID ’23).

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches InProceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses(Hong Kong, China)(RAID ’23)

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T01:09:06.682708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b09ed0b3-ed21-4f04-ae5b-9cbd22a48f34 · outbound

This paper cites Association for Computational Linguistics, Online, 1536–1547.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches Association for Computational Linguistics, Online, 1536–1547

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T01:09:07.388877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers