← Authors

Seth Neel

12 papers · 2017–2025 · 6 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (5) πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (8) πŸ“ˆ Trend Setter πŸ’Ž Century Club (12)

Conferences

ICML (5) ICLR (2) NIPS (2) AISTATS (1) ALT (1) EMNLP (1)

Top co-authors

Aaron Roth (6) Martin Pawelczyk (3) Himabindu Lakkaraju (2) Saeed Sharifi-Malvajerdi (2) Jimmy Z. Di (1) Ayush Sekhari (1) Giuseppe Vietri (1) Katrina Ligett (1) Marvin Li (1) Peter W Chang (1)

Research topics

Differential Privacy (1) Privacy (1)

Keywords

differential privacy (4) data deletion (2) empirical risk minimization (2) privacy attack (2) machine unlearning (2) reservoir sampling (1) false positive rate (1) privacy preservation (1) linear regression (1) agnostic learning (1) logistic regression (1) hessian matrix (1) bandit algorithm (1) contextual bandit (1) bias mitigation (1) zero-sum game (1) hypothesis testing (1) counterfactual explanation (1) training data privacy (1) convex optimization (1)

Papers

Machine Unlearning Fails to Remove Data Poisoning Attacks ICLR 2025
Machine Unlearning via Simulated Oracle Matching ICLR 2025
In-Context Unlearning: Language Models as Few-Shot Unlearners ICML 2024
Feature Importance Disparities for Data Bias Investigations ICML 2024
On the Privacy Risks of Algorithmic Recourse AISTATS 2023
MoPe: Model Perturbation based Privacy Attacks on Language Models EMNLP 2023
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning ALT 2021
Adaptive Machine Unlearning NIPS 2021
Oracle Efficient Private Non-Convex Optimization ICML 2020
Mitigating Bias in Adaptive Data Gathering via Differential Privacy ICML 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness ICML 2018
Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM NIPS 2017