Seth Neel
13 papers · 2017–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Cross-Pollinator (5) πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Conference Polyglot
(6)
π
Academic Marathon
(8)
π
Trend Setter
π
Century Club
(12)
Conferences
ICML (5)
ICLR (2)
NIPS (2)
ACL (1)
AISTATS (1)
ALT (1)
EMNLP (1)
Top co-authors
Research topics
Keywords
differential privacy
(4)
large language model
(2)
empirical risk minimization
(2)
machine unlearning
(2)
privacy attack
(2)
membership inference attack
(2)
data deletion
(2)
reservoir sampling
(1)
false positive rate
(1)
privacy preservation
(1)
linear regression
(1)
hessian matrix
(1)
agnostic learning
(1)
contextual bandit
(1)
logistic regression
(1)
counterfactual explanation
(1)
bandit algorithm
(1)
bias mitigation
(1)
training data privacy
(1)
zero-sum game
(1)
Papers
CheckMIABench: Firm Foundations For Membership Inference Attacks on Language Models
ACL 2026
Machine Unlearning via Simulated Oracle Matching
ICLR 2025
Machine Unlearning Fails to Remove Data Poisoning Attacks
ICLR 2025
In-Context Unlearning: Language Models as Few-Shot Unlearners
ICML 2024
Feature Importance Disparities for Data Bias Investigations
ICML 2024
MoPe: Model Perturbation based Privacy Attacks on Language Models
EMNLP 2023
On the Privacy Risks of Algorithmic Recourse
AISTATS 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