Statistical Arbitrage for Crypto Currencies
Quantitative research self-project exploiting momentum and reversal strategies for arbitrage.
Quantitative research self-project exploiting momentum and reversal strategies for arbitrage.
Replicated and extended the results of it to crypto currencies.
Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2023
GANs can now create realistic fake faces, but this research explores how to track identity information leakage from real training data to the synthetic images.
Recommended citation: Bhatia, H., Singh, J., Sangwan, G., Bharati, A., Singh, R. and Vatsa, M., 2023, June. IdProv: identity-based provenance for synthetic image generation (student abstract). In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 13, pp. 16164-16165). https://ojs.aaai.org/index.php/AAAI/article/download/26942/26714
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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