Ren Pang

According to our database¹, Ren Pang authored at least 18 papers between 2019 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2023

On the Difficulty of Defending Contrastive Learning against Backdoor Attacks.

[BibT_eX]

[DOI]

CoRR, 2023

Model Extraction Attacks Revisited.

[BibT_eX]

[DOI]

CoRR, 2023

Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks.

[BibT_eX]

[DOI]

CoRR, 2023

On the Security Risks of Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Dark Side of AutoML: Towards Architectural Backdoor Search.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Embarrassingly Simple Backdoor Attack on Self-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Demystifying Self-supervised Trojan Attacks.

[BibT_eX]

[DOI]

CoRR, 2022

Reasoning over Multi-view Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

On the Security Risks of AutoML.

[BibT_eX]

[DOI]

Proceedings of the 31st USENIX Security Symposium, 2022

TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE European Symposium on Security and Privacy, 2022

2021

Towards Robust Reasoning over Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

Graph Backdoor.

[BibT_eX]

[DOI]

Proceedings of the 30th USENIX Security Symposium, 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

TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask).

[BibT_eX]

[DOI]

CoRR, 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

Ren Pang

Timeline

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Bibliography

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