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portfolio
Day One Hugging Face
Day One: Hugging Face, Vision Language Models and Event Instruct & Instruction Tuning
Instructor: Emet Bethany
Agentic Workshop Day 1
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publications
Das, Arun, Jeffrey Mock, Yufei Huang, Edward Golob, and Peyman Najafirad. Interpretable self-supervised facial micro-expression learning to predict cognitive state and neurological disorders. In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 1, pp. 818-826. 2021.
Bendre, Nihar, Kevin Desai, and Peyman Najafirad. Generalized zero-shot learning using multimodal variational auto-encoder with semantic concepts. In 2021 IEEE International Conference on Image Processing (ICIP), pp. 1284-1288. IEEE, 2021.
De La Torre Parra, Gonzalo, Luis Selvera, Joseph Khoury, Hector Irizarry, Elias Bou-Harb, and Paul Rad. Interpretable federated transformer log learning for cloud threat forensics. NDSS 22 (2022)
De La Torre Parra, Gonzalo, Luis Selvera, Joseph Khoury, Hector Irizarry, Elias Bou-Harb, and Paul Rad. Interpretable federated transformer log learning for cloud threat forensics. NDSS 22 (2022).
Silva, Samuel Henrique, Arun Das, Adel Aladdini, and Peyman Najafirad. Adaptive clustering of robust semantic representations for adversarial image purification on social networks. In Proceedings of the International AAAI Conference on Web and Social Media, vol. 16, pp. 968-979. 2022.
Ebadi, Nima, Ruiqi Li, Arun Das, Arkajyoti Roy, Papanikolaou Nikos, and Peyman Najafirad. CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation. Medical Image Analysis 86 (2023): 102800.
Islam, Nafis Tanveer, Gonzalo De La Torre Parra, Dylan Manuel, Elias Bou-Harb, and Peyman Najafirad. An unbiased transformer source code learning with semantic vulnerability graph. In 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), pp. 144-159. IEEE, 2023.
Islam, Nafis Tanveer, Gonzalo De La Torre Parra, Dylan Manuel, Elias Bou-Harb, and Peyman Najafirad. An unbiased transformer source code learning with semantic vulnerability graph. In 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), pp. 144-159. IEEE, 2023.
Bethany, Mazal, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, and Peyman Najafirad. Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. 33rd USENIX Security Symposium, 2024.
Bethany, Mazal, Brandon Wherry, Nishant Vishwamitra, and Peyman Najafirad. Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually, 2024
Corley, Isaac, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, and Peyman Najafirad. Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 3162-3172. 2024.
Ebadi, Nima, Ruiqi Li, Arun Das, Arkajyoti Roy, Papanikolaou Nikos, and Peyman Najafirad. CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation. Medical Image Analysis 86 (2023): 102800.
Khoury, Joseph, Dorde Klisura, Hadi Zanddizari, Gonzalo De La Torre Parra, Peyman Najafirad, and Elias Bou-Harb. Jbeil: Temporal Graph-Based Inductive Learning to Infer Lateral Movement in Evolving Enterprise Networks. In 2024 IEEE Symposium on Security and Privacy (SP), pp. 9-9. IEEE Computer Society, 2023.
Wajid, Mohammad Saif, Hugo Terashima-Marin, Peyman Najafirad, Santiago Enrique Conant Pablos, and Mohd Anas Wajid. DTwin-TEC: An AI-based TEC District Digital Twin and Emulating Security Events by Leveraging Knowledge Graph. Journal of Open Innovation: Technology, Market, and Complexity (2024): 100297.
Islam, Nafis Tanveer, and Peyman Najafirad. Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence Workshop, 2024.
Corley, Isaac, Jonathan Lwowski, and Peyman Najafirad. ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 4635-4643. 2024.
talks
Talk 1: PeymanNajafirad/_talks/2024-06-09-talk-1.md
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Talk 2: PeymanNajafirad/_talks/2024-06-09-talk-2.md
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Talk 4: PeymanNajafirad/_talks/2024-06-09-talk-4.md
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teaching
2024-summer-teaching-1.md
This is a description of 2024 Summer Teaching Class 1 Location: PeymanNajafirad/_teaching/2024-summer-teaching-1.md
2024-summer-teaching-2.md
This is a description of 2024 Summer Teaching Class 2 Location: PeymanNajafirad/_teaching/2024-summer-teaching-2.md