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Paper Citation Record · LEDGER

Evaluation of Adversarial Robustness in Arabic Language Models

As of 15 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2607.25814.

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pith.paper-citation-record.v1
2607.25814 v1

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measured 67 of 67 reference resolution

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measured 67 of 67 standing notices

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67 of 67 outbound references displayed

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Outbound references

Observation 23bd2dfd-76c8-40a6-9144-491e28878a72 · outbound

This paper cites Concrete Problems in AI Safety.

Evaluation of Adversarial Robustness in Arabic Language Models Concrete Problems in AI Safety

Reference 1

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Observation e24045e7-bde4-498a-abe1-6ae0500aaa8f · outbound

This paper cites Intriguing Properties of Adversarial Examples.

Evaluation of Adversarial Robustness in Arabic Language Models Intriguing Properties of Adversarial Examples

Reference 2

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Observation 1a226d1e-1e63-460f-9fac-33e5dfa2b256 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Evaluation of Adversarial Robustness in Arabic Language Models Explaining and Harnessing Adversarial Examples

Reference 3

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This paper cites Measure and Improve Robustness in NLP Models: A Survey.

Evaluation of Adversarial Robustness in Arabic Language Models Measure and Improve Robustness in NLP Models: A Survey

Reference 4

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This paper cites Knowledge-Based Systems191, 105210 (2020) https://doi.org/10.

Evaluation of Adversarial Robustness in Arabic Language Models Knowledge-Based Systems191, 105210 (2020) https://doi.org/10

Reference 5

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This paper cites Neurocomputing492, 278–307 (2022) https://doi.org/10.1016/j.neucom.2022.04.020.

Evaluation of Adversarial Robustness in Arabic Language Models Neurocomputing492, 278–307 (2022) https://doi.org/10.1016/j.neucom.2022.04.020

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This paper cites Adversarial Examples in Modern Machine Learning: A Review.

Evaluation of Adversarial Robustness in Arabic Language Models Adversarial Examples in Modern Machine Learning: A Review

Reference 7

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Observation fe4e8693-652a-4099-8555-5d84aede1d81 · outbound

This paper cites Robustness May Be at Odds with Accuracy.

Evaluation of Adversarial Robustness in Arabic Language Models Robustness May Be at Odds with Accuracy

Reference 8

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Observation d2dc4f21-4af8-4e15-9591-9ef0ff1e0625 · outbound

This paper cites A Closer Look at Accuracy vs. Robustness.

Evaluation of Adversarial Robustness in Arabic Language Models A Closer Look at Accuracy vs. Robustness

Reference 9

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This paper cites SIL International.

Evaluation of Adversarial Robustness in Arabic Language Models SIL International

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This paper cites ACM Transactions on Asian and Low-Resource Language Information Processing24(3), 1–21 (2025).

Evaluation of Adversarial Robustness in Arabic Language Models ACM Transactions on Asian and Low-Resource Language Information Processing24(3), 1–21 (2025)

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This paper cites Springer (2022).

Evaluation of Adversarial Robustness in Arabic Language Models Springer (2022)

Reference 12

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This paper cites International journal of corpus linguistics11(2), 135–171 (2006).

Evaluation of Adversarial Robustness in Arabic Language Models International journal of corpus linguistics11(2), 135–171 (2006)

Reference 13

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This paper cites AraBERT: Transformer-based Model for Arabic Language Understanding.

Evaluation of Adversarial Robustness in Arabic Language Models AraBERT: Transformer-based Model for Arabic Language Understanding

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Evaluation of Adversarial Robustness in Arabic Language Models Unresolved cited work

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This paper cites In: 6th Ara- bic Natural Language Processing Workshop, W ANLP 2021, pp.

Evaluation of Adversarial Robustness in Arabic Language Models In: 6th Ara- bic Natural Language Processing Workshop, W ANLP 2021, pp

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This paper cites In: Proceedings of the Thirteenth Language Resources and Evaluation Conference, pp.

Evaluation of Adversarial Robustness in Arabic Language Models In: Proceedings of the Thirteenth Language Resources and Evaluation Conference, pp

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This paper cites Reevaluating Adversarial Examples in Natural Language.

Evaluation of Adversarial Robustness in Arabic Language Models Reevaluating Adversarial Examples in Natural Language

Reference 19

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This paper cites Applied Sciences9(5), 909 (2019).

Evaluation of Adversarial Robustness in Arabic Language Models Applied Sciences9(5), 909 (2019)

Reference 20

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This paper cites Multi-granularity Textual Adversarial Attack with Behavior Cloning.

Evaluation of Adversarial Robustness in Arabic Language Models Multi-granularity Textual Adversarial Attack with Behavior Cloning

Reference 21

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Evaluation of Adversarial Robustness in Arabic Language Models Universal Sentence Encoder

Reference 22

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This paper cites In: Inui, K., Jiang, J., Ng, V., Wan, X.

Evaluation of Adversarial Robustness in Arabic Language Models In: Inui, K., Jiang, J., Ng, V., Wan, X

Reference 23

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Evaluation of Adversarial Robustness in Arabic Language Models A Survey of Adversarial Defences and Robustness in NLP

Reference 24

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Evaluation of Adversarial Robustness in Arabic Language Models Unresolved cited work

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This paper cites In: Findings of the Association for Computational Linguistics: EACL 2023, pp.

Evaluation of Adversarial Robustness in Arabic Language Models In: Findings of the Association for Computational Linguistics: EACL 2023, pp

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This paper cites IEEE Transactions on Knowledge and Data Engineering, 1–14 (2023) https://doi.org/10.1109/TKDE.2023.3270581.

Evaluation of Adversarial Robustness in Arabic Language Models IEEE Transactions on Knowledge and Data Engineering, 1–14 (2023) https://doi.org/10.1109/TKDE.2023.3270581

Reference 27

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This paper cites In: 30 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), pp.

Evaluation of Adversarial Robustness in Arabic Language Models In: 30 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), pp

Reference 28

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This paper cites In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R.

Evaluation of Adversarial Robustness in Arabic Language Models In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R

Reference 29

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Evaluation of Adversarial Robustness in Arabic Language Models In: 2018 IEEE Security and Privacy Workshops (SPW), pp

Reference 30

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This paper cites TextBugger: Generating Adversarial Text Against Real-world Applications.

Evaluation of Adversarial Robustness in Arabic Language Models TextBugger: Generating Adversarial Text Against Real-world Applications

Reference 31

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Evaluation of Adversarial Robustness in Arabic Language Models TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP

Reference 32

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Evaluation of Adversarial Robustness in Arabic Language Models In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp

Reference 34

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This paper cites In: 2019 International Conference on Computational Science and Computational Intelligence (CSCI), pp.

Evaluation of Adversarial Robustness in Arabic Language Models In: 2019 International Conference on Computational Science and Computational Intelligence (CSCI), pp

Reference 35

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This paper cites In: Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, pp.

Evaluation of Adversarial Robustness in Arabic Language Models In: Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, pp

Reference 36

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This paper cites Neural Computing and Applications37(6), 4323–4343 (2025).

Evaluation of Adversarial Robustness in Arabic Language Models Neural Computing and Applications37(6), 4323–4343 (2025)

Reference 37

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This paper cites In: 2023 Fifth International Conference on Transdisciplinary AI (TransAI), pp.

Evaluation of Adversarial Robustness in Arabic Language Models In: 2023 Fifth International Conference on Transdisciplinary AI (TransAI), pp

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Evaluation of Adversarial Robustness in Arabic Language Models Towards Improving Adversarial Training of NLP Models

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This paper cites TextDefense: Adversarial Text Detection based on Word Importance Entropy.

Evaluation of Adversarial Robustness in Arabic Language Models TextDefense: Adversarial Text Detection based on Word Importance Entropy

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Observation 64c9e6b7-285c-49ee-95c4-f43cd0fd81df · outbound

This paper cites In: Proceedings of the 7th Workshop on Representation Learning for NLP, pp.

Evaluation of Adversarial Robustness in Arabic Language Models In: Proceedings of the 7th Workshop on Representation Learning for NLP, pp

Reference 42

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This paper cites Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples.

Evaluation of Adversarial Robustness in Arabic Language Models Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples

Reference 43

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This paper cites Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification.

Evaluation of Adversarial Robustness in Arabic Language Models Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification

Reference 44

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This paper cites Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble.

Evaluation of Adversarial Robustness in Arabic Language Models Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble

Reference 45

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This paper cites Arabic Synonym BERT-based Adversarial Examples for Text Classification.

Evaluation of Adversarial Robustness in Arabic Language Models Arabic Synonym BERT-based Adversarial Examples for Text Classification

Reference 46

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This paper cites Neural computation 9(8), 1735–1780 (1997).

Evaluation of Adversarial Robustness in Arabic Language Models Neural computation 9(8), 1735–1780 (1997)

Reference 47

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This paper cites In: Mos- chitti, A., Pang, B., Daelemans, W.

Evaluation of Adversarial Robustness in Arabic Language Models In: Mos- chitti, A., Pang, B., Daelemans, W

Reference 48

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This paper cites Advances in neural information processing systems30(2017).

Evaluation of Adversarial Robustness in Arabic Language Models Advances in neural information processing systems30(2017)

Reference 49

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Evaluation of Adversarial Robustness in Arabic Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 50

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Evaluation of Adversarial Robustness in Arabic Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 51

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This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Evaluation of Adversarial Robustness in Arabic Language Models DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 52

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This paper cites In: Proceedings of the 22nd ACM SIGKDD Inter- national Conference on Knowledge Discovery and Data Mining, pp.

Evaluation of Adversarial Robustness in Arabic Language Models In: Proceedings of the 22nd ACM SIGKDD Inter- national Conference on Knowledge Discovery and Data Mining, pp

Reference 53

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This paper cites In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp.

Evaluation of Adversarial Robustness in Arabic Language Models In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp

Reference 54

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This paper cites https://huggingface.

Evaluation of Adversarial Robustness in Arabic Language Models https://huggingface

Reference 55

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This paper cites OSACT3, 20 (2018).

Evaluation of Adversarial Robustness in Arabic Language Models OSACT3, 20 (2018)

Reference 56

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This paper cites In: Proceed- ings of the Thirteenth Language Resources and Evaluation Conference, pp.

Evaluation of Adversarial Robustness in Arabic Language Models In: Proceed- ings of the Thirteenth Language Resources and Evaluation Conference, pp

Reference 57

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This paper cites In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstra- tions, pp.

Evaluation of Adversarial Robustness in Arabic Language Models In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstra- tions, pp

Reference 58

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This paper cites In: Proceed- ings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pp.

Evaluation of Adversarial Robustness in Arabic Language Models In: Proceed- ings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pp

Reference 59

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This paper cites Neural Computing and Applications, 1–21 (2024).

Evaluation of Adversarial Robustness in Arabic Language Models Neural Computing and Applications, 1–21 (2024)

Reference 60

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This paper cites Information Processing & Man- agement60(2), 103227 (2023).

Evaluation of Adversarial Robustness in Arabic Language Models Information Processing & Man- agement60(2), 103227 (2023)

Reference 61

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This paper cites In: Soviet Physics Doklady, vol.

Evaluation of Adversarial Robustness in Arabic Language Models In: Soviet Physics Doklady, vol

Reference 62

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This paper cites IEEE transactions on neural networks and learning systems30(9), 2805–2824 (2019).

Evaluation of Adversarial Robustness in Arabic Language Models IEEE transactions on neural networks and learning systems30(9), 2805–2824 (2019)

Reference 63

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This paper cites In: Proceedings of ArabicNLP 2023, pp.

Evaluation of Adversarial Robustness in Arabic Language Models In: Proceedings of ArabicNLP 2023, pp

Reference 64

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This paper cites GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP.

Evaluation of Adversarial Robustness in Arabic Language Models GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP

Reference 65

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This paper cites Computer Science Review49, 100573 (2023).

Evaluation of Adversarial Robustness in Arabic Language Models Computer Science Review49, 100573 (2023)

Reference 66

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This paper cites Improving the Adversarial Robustness of NLP Models by Information Bottleneck.

Evaluation of Adversarial Robustness in Arabic Language Models Improving the Adversarial Robustness of NLP Models by Information Bottleneck

Reference 67

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This paper cites On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models.

Evaluation of Adversarial Robustness in Arabic Language Models On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models

Reference 68

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This paper cites ACM Computing Surveys55(14s), 1–39 (2023) 34.

Evaluation of Adversarial Robustness in Arabic Language Models ACM Computing Surveys55(14s), 1–39 (2023) 34

Reference 69

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This paper cites https: //doi.org/10.3115/v1/D14-1181 .https://aclanthology.org/D14-1181.

Evaluation of Adversarial Robustness in Arabic Language Models https: //doi.org/10.3115/v1/D14-1181 .https://aclanthology.org/D14-1181

Reference 1751

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