EMA at SemEval-2018 Task 1: Emotion Mining for Arabic. - Gilbert Badaro; Obeida El Jundi; Alaa Khaddaj; Alaa Maarouf; Raslan Kain; Hazem M. Hajj; Wassim El-Hajj (SemEval@NAACL-HLT, 2018)

Improved Generalization of Arabic Text Classifiers. - Alaa Khaddaj; Hazem M. Hajj; Wassim El-Hajj (WANLP@ACL 2019, 2019)

ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets. - Ramy Baly; Alaa Khaddaj; Hazem M. Hajj; Wassim El-Hajj; Khaled Bashir Shaban (CoRR, 2019)

Representation Learning for Improved Generalization of Adversarial Domain Adaptation with Text Classification. - Alaa Khaddaj; Hazem M. Hajj (ICIoT, 2020)

Food and Liquid Sensing in Practical Environments using RFIDs. - Unsoo Ha; Junshan Leng; Alaa Khaddaj; Fadel Adib (NSDI, 2020)

ARROW: restoration-aware traffic engineering. - Zhizhen Zhong; Manya Ghobadi; Alaa Khaddaj; Jonathan Leach; Yiting Xia; Ying Zhang 022 (SIGCOMM, 2021)

A Data-Based Perspective on Transfer Learning. - Saachi Jain; Hadi Salman; Alaa Khaddaj; Eric Wong 001; Sung Min Park; Aleksander Madry (CVPR, 2023)

Rethinking Backdoor Attacks. - Alaa Khaddaj; Guillaume Leclerc; Aleksandar Makelov; Kristian Georgiev; Hadi Salman; Andrew Ilyas; Aleksander Madry (ICML, 2023)

Raising the Cost of Malicious AI-Powered Image Editing. - Hadi Salman; Alaa Khaddaj; Guillaume Leclerc; Andrew Ilyas; Aleksander Madry (ICML, 2023)

Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale. - Alaa Khaddaj; Logan Engstrom; Aleksander Madry (ICLR, 2025)

DataMIL: Selecting Data for Robot Imitation Learning with Datamodels. - Shivin Dass; Alaa Khaddaj; Logan Engstrom; Aleksander Madry; Andrew Ilyas; Roberto Martín-Martín (CoRR, 2025)

Small-to-Large Generalization: Data Influences Models Consistently Across Scale. - Alaa Khaddaj; Logan Engstrom; Aleksander Madry (CoRR, 2025)