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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Alexander Koujianos Goldberg
About me
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portfolio
publications
Towards Differentially Private Inference on Network Data
Published in Undergraduate Thesis 2018, awarded the Thomas T. Hoopes Prize, 2018
This thesis explores differentially private inference for probablistic models of random graphs, developing methods to preserve privacy while enabling statistical analysis of network data structure.
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Batching of Tasks by Users of Pseudonymous Forums: Anonymity Compromise and Protection
Published in ACM SIGMETRICS, 2023, 2022
We analyze how users’ batching behavior on pseudonymous forums can compromise their anonymity and propose protection mechanisms to formally guarantee privacy while preventing high added latency.
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Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown
Published in PPAI Workshop @ AAAI 2024, 2024
We conduct a comprehensive comparison of synthetic data generation and TopDown approaches for private population data release, evaluating their utility-privacy tradeoffs across different demographic datasets.
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Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments
Published in PLOS One, 2025, 2024
We conduct a randomized controlled trial and other analyses examining biases and other sources of error when asking authors, reviewers, and area chairs to evaluate the quality of peer reviews. We establish evidence of length bias, wherein evaluators deem uselessly elongated reviews as higher quality, as well as positive outcome bias, wherein authors prefer positive reviews on their own papers.
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What Can Natural Language Processing Do for Peer Review?
Published in arXiv, 2024, 2024
This paper surveys the role of NLP in supporting peer review, mapping opportunities and challenges across the review pipeline from submission to revision. It highlights key obstacles, such as data access, experimentation, and ethics, and offers a community call to action, supported by an open repository of peer review datasets.
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Benchmarking Fraud Detectors on Private Graph Data
Published in ACM KDD, 2025, 2024
We study the problem of benchmarking fraud detectors on private graph data, showing that evaluation results alone can enable nearly perfect de-anonymization attacks in realistic settings. We then analyze differential privacy–based defenses and find that existing methods face a fundamental bias–variance trade-off that limits their practical utility.
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Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS’24 Experiment
Published in arXiv, 2024 (Under submission), 2024
We evaluate the use of LLMs for checking conference submissions, by deploying a tool that checks papers against the NeurIPS author checklist.
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A Principled Approach to Randomized Selection under Uncertainty: Applications to Peer Review and Grant Funding
Published in arXiv, 2025 (Under submission), 2025
We develop a principled approach to randomizing competitive selection decisions under uncertainty about the relative quality of candidates, with applications to scientific grant funding loteries.
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