All Publications

(* indicates first author/equal contribution. ^† Authors ordered alphabetically by last name.)

The following list may be incomplete. Please visit my Google Scholar profile for the most up-to-date information.

DARTS: Decoder-Aware Representation Surgery via Tuning for Model Merging

Aaryan Ajay Sharma*, Sai Nishanth Padala*, and Seganrasan Subramanian

Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026)

[arXiv]

Merge Now, Regret Later: The Hidden Cost of Model Merging Is Adversarial Transferability

Mauro Conti^†, Ankit Gangwal, and Aaryan Ajay Sharma*

Proceedings of the 29th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2026)

[arXiv]

GENIE: Watermarking Graph Neural Networks for Link Prediction

VSP Bachina*, Aaryan Ajay Sharma*, Ankit Gangwal, and Charu Sharma

Transactions on Machine Learning Research (TMLR)

[arXiv] [OpenReview] [Interactive DWT]

POSTER: Investigating Transferability of Adversarial Examples in Model Merging

Ankit Gangwal^† and Aaryan Ajay Sharma*

Proceedings of the 20th ACM Asia Conference on Computer and Communications Security (AsiaCCS 2025), pp. 1812–1814

[DOI] [PDF]