| Raising the cost of malicious ai-powered image editing H Salman, A Khaddaj, G Leclerc, A Ilyas, A Madry arXiv preprint arXiv:2302.06588, 2023 | 109 | 2023 |
| Food and liquid sensing in practical environments using {RFIDs} U Ha, J Leng, A Khaddaj, F Adib 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2020 | 101 | 2020 |
| Arsentd-lev: A multi-topic corpus for target-based sentiment analysis in arabic levantine tweets R Baly, A Khaddaj, H Hajj, W El-Hajj, KB Shaban arXiv preprint arXiv:1906.01830, 2019 | 88 | 2019 |
| Ema at semeval-2018 task 1: Emotion mining for arabic G Badaro, O El Jundi, A Khaddaj, A Maarouf, R Kain, H Hajj, W El-Hajj proceedings of The 12th international workshop on semantic evaluation, 236-244, 2018 | 63 | 2018 |
| A data-based perspective on transfer learning S Jain, H Salman, A Khaddaj, E Wong, SM Park, A Mądry Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 43 | 2023 |
| ARROW: restoration-aware traffic engineering Z Zhong, M Ghobadi, A Khaddaj, J Leach, Y Xia, Y Zhang Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 560-579, 2021 | 37 | 2021 |
| Rethinking backdoor attacks A Khaddaj, G Leclerc, A Makelov, K Georgiev, H Salman, A Ilyas, A Madry International Conference on Machine Learning, 16216-16236, 2023 | 18 | 2023 |
| Improved generalization of arabic text classifiers A Khaddaj, H Hajj, W El-Hajj Proceedings of the fourth Arabic natural language processing workshop, 167-174, 2019 | 10 | 2019 |
| Representation learning for improved generalization of adversarial domain adaptation with text classification A Khaddaj, H Hajj 2020 IEEE International Conference on Informatics, IoT, and Enabling …, 2020 | 4 | 2020 |
| Backdoor or Feature? A New Perspective on Data Poisoning A Khaddaj, G Leclerc, A Makelov, K Georgiev, A Ilyas, H Salman, A Madry | 2 | |
| Methods and apparatus for radio frequency sensing in diverse environments U Ha, J Leng, A Khaddaj, Y Ma, TM Hsu, Z Zhong, F Adib US Patent 10,872,209, 2020 | 1 | 2020 |
| Extra Training Provides a Strong Baseline for CLIP A Khaddaj, H Salman, A Ilyas, G Leclerc, A Madry R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation …, 0 | 1 | |
| Methods and apparatus for radio frequency sensing in diverse environments U Ha, J Leng, A Khaddaj, Y Ma, TM Hsu, Z Zhong, F Adib US Patent 11,308,291, 2022 | | 2022 |
| On the Role of the Source Dataset in Transfer Learning A Khaddaj Massachusetts Institute of Technology, 2022 | | 2022 |
| Small-to-Large Generalization: Data Influences Models Consistently Across Scale A Khaddaj, L Engstrom, A Madry | | |
| Your CLIP Model Might Be Undertrained A Khaddaj, H Salman, A Ilyas, G Leclerc, A Madry | | |