Xinyang Zhang

Affiliations:

Adobe Systems
Pennsylvania State University, PA, USA (former)

According to our database¹, Xinyang Zhang authored at least 20 papers between 2016 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2022

SoK: On the Semantic AI Security in Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2022

Detecting multi-sensor fusion errors in advanced driver-assistance systems.

[BibT_eX]

[DOI]

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

SimLane: A Risk-Orientated Benchmark for Lane Detection.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2021

Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2021

Trojaning Language Models for Fun and Profit.

[BibT_eX]

[DOI]

Proceedings of the IEEE European Symposium on Security and Privacy, 2021

i-Algebra: Towards Interactive Interpretability of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Trojaning Language Models for Fun and Profit.

[BibT_eX]

[DOI]

Xinyang Zhang

Zheng Zhang

Ting Wang

CoRR, 2020

Interpretable Deep Learning under Fire.

[BibT_eX]

[DOI]

Proceedings of the 29th USENIX Security Symposium, 2020

AdvMind: Inferring Adversary Intent of Black-Box Attacks.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models.

[BibT_eX]

[DOI]

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

The Tale of Evil Twins: Adversarial Inputs versus Backdoored Models.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Interpretable Deep Learning under Fire.

[BibT_eX]

[DOI]

CoRR, 2018

EagleEye: Attack-Agnostic Defense against Adversarial Inputs (Technical Report).

[BibT_eX]

[DOI]

Yujie Ji

Xinyang Zhang

Ting Wang

CoRR, 2018

Differentially Private Releasing via Deep Generative Model.

[BibT_eX]

[DOI]

Xinyang Zhang

Shouling Ji

Ting Wang

CoRR, 2018

DeepClean: Data Cleaning via Question Asking.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Model-Reuse Attacks on Deep Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

Modular Learning Component Attacks: Today's Reality, Tomorrow's Challenge.

[BibT_eX]

[DOI]

Xinyang Zhang

Yujie Ji

Ting Wang

CoRR, 2017

Private, Yet Practical, Multiparty Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Backdoor attacks against learning systems.

[BibT_eX]

[DOI]

Yujie Ji

Xinyang Zhang

Ting Wang

Proceedings of the 2017 IEEE Conference on Communications and Network Security, 2017

2016

Inspiration or Preparation?: Explaining Creativity in Scientific Enterprise.

[BibT_eX]

[DOI]

Xinyang Zhang

Dashun Wang

Ting Wang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Xinyang Zhang

Timeline

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Bibliography

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