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20112026
most citedData Poisoning Attacks on Factorization-Based Collaborative Filtering

154 citations · 639 across the 138 of their papers we have counts for

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Showing 2024Show all

17 papers · 1 filter

cs.LG2024

Active Geospatial Search for Efficient Tenant Eviction Outreach

Anindya Sarkar, Alex DiChristofano, Sanmay Das +3

Tenant evictions threaten housing stability and are a major concern for many cities. An open question concerns whether data-driven methods enhance outreach programs that target at-…

cs.CR2024

Bayes-Nash Generative Privacy Against Membership Inference Attacks

Tao Zhang, Rajagopal Venkatesaramani, Rajat K. De +2

Membership inference attacks (MIAs) pose significant privacy risks by determining whether individual data is in a dataset. While differential privacy (DP) mitigates these risks, it…

cs.CR2024

AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs

Xiaogeng Liu, Peiran Li, Edward Suh +7

In this paper, we propose AutoDAN-Turbo, a black-box jailbreak method that can automatically discover as many jailbreak strategies as possible from scratch, without any human inter…

math.OC2024

Optimal policy for control of epidemics with constrained time intervals and region-based interactions

Xia Li, Andrea L. Bertozzi, P. Jeffrey Brantingham +1

We introduce a policy model coupled with the susceptible-infected-recovered (SIR) epidemic model to study interactions between policy-making and the dynamics of epidemics. We consi…

cs.LG2024★ 1 cited

Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets

Victor Borza, Andrew Estornell, Ellen Wright Clayton +4

Large participatory biomedical studies, studies that recruit individuals to join a dataset, are gaining popularity and investment, especially for analysis by modern AI methods. Bec…

cs.CR2024

Differential Confounding Privacy and Inverse Composition

Tao Zhang, Bradley A. Malin, Netanel Raviv +1

Differential privacy (DP) has become the gold standard for privacy-preserving data analysis, but its applicability can be limited in scenarios involving complex dependencies betwee…