Benjamin I. P. Rubinstein
15 papers · 2012–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (14) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(21)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(50)
π
Century Club
(15)
π
Trend Setter
π₯
Unstoppable
(7)
β
The Questioner
Conferences
ICML (4)
AAAI (3)
JMLR (2)
ACL (1)
ALT (1)
EMNLP (1)
ICLR (1)
IJCAI (1)
WACV (1)
Top co-authors
Research topics
Keywords
poisoning attack
(3)
adversarial learning
(2)
certified defense
(2)
convex optimization
(2)
adversarial robustness
(2)
differential privacy
(2)
statistical query
(1)
posterior sampling
(1)
bayesian inference
(1)
machine unlearning
(1)
randomized smoothing
(1)
instruction tuning
(1)
feature importance
(1)
importance sampling
(1)
sensitivity analysis
(1)
cross-lingual transfer
(1)
generalization error
(1)
backdoor attack
(1)
nonlinear regression
(1)
text classification
(1)
Papers
Where is the Watermark? Interpretable Watermark Detection at the Block Level
WACV 2026
One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy
ICML 2025
TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning
ACL 2025
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning
ICLR 2025
Position: Certified Robustness Does Not (Yet) Imply Model Security
ICML 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
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors
AAAI 2021
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning
IJCAI 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