Benjamin I. P. Rubinstein
15 papers · 2012–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (25) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
ποΈ
Keyword Collector
(62)
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Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
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Trend Setter
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Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Optimization & Theory
(8)
Core AI
(7)
Learning Types Β· Machine Learning
(6)
Deep Learning
(4)
Security & Privacy
(3)
Application Areas
(3)
Core Methods
(3)
Differential Privacy
(3)
Natural Language Processing
(2)
Learning Types Β· Deep Learning
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Keywords
poisoning attack
(4)
adversarial robustness
(3)
certified defense
(3)
differential privacy
(3)
convex optimization
(2)
adversarial learning
(2)
adversarial example
(2)
robustness
(1)
feature importance
(1)
data poisoning
(1)
cross-lingual transfer
(1)
machine unlearning
(1)
posterior sampling
(1)
instruction tuning
(1)
sensitivity analysis
(1)
text classification
(1)
generalization error
(1)
nonlinear regression
(1)
importance sampling
(1)
statistical query
(1)
Papers
Where is the Watermark? Interpretable Watermark Detection at the Block Level
WACV 2026
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning
ICLR 2025
One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy
ICML 2025
Position: Certified Robustness Does Not (Yet) Imply Model Security
ICML 2025
TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning
ACL 2025
CERT-ED: Certifiably Robust Text Classification for Edit Distance
EMNLP 2024
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples
ICML 2024
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks
AAAI 2023
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
AAAI 2022
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning
IJCAI 2021
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors
AAAI 2021
Sampling Without Compromising Accuracy in Adaptive Data Analysis
ALT 2020
Differential Privacy for Bayesian Inference through Posterior Sampling
JMLR 2017
Pain-Free Random Differential Privacy with Sensitivity Sampling
ICML 2017
Query Strategies for Evading Convex-Inducing Classifiers
JMLR 2012