Robin Staab
11 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Conference Polyglot (3) π Interdisciplinary Bridge π§ Keyword Pioneer π€ Dynamic Duo (11)
π
Triple Crown
β‘
Prolific Year
(5)
π
Century Club
(11)
Conferences
ICLR (5)
ICML (3)
NIPS (3)
Top co-authors
Keywords
model quantization
(1)
synthetic data generation
(1)
attribute recognition
(1)
projected gradient descent
(1)
adversarial attack
(1)
vision-language model
(1)
privacy risk
(1)
author profiling
(1)
large language model
(1)
quantized model
(1)
personal attribute
(1)
full-precision model
(1)
privacy inference
(1)
personal attribute inference
(1)
Papers
Discovering Spoofing Attempts on Language Model Watermarks
ICML 2025
Black-Box Detection of Language Model Watermarks
ICLR 2025
Ward: Provable RAG Dataset Inference via LLM Watermarks
ICLR 2025
Language Models are Advanced Anonymizers
ICLR 2025
Mind the Gap: A Practical Attack on GGUF Quantization
ICML 2025
Exploiting LLM Quantization
NIPS 2024
Watermark Stealing in Large Language Models
ICML 2024
Private Attribute Inference from Images with Vision-Language Models
NIPS 2024
A Synthetic Dataset for Personal Attribute Inference
NIPS 2024
Beyond Memorization: Violating Privacy via Inference with Large Language Models
ICLR 2024
Bayesian Framework for Gradient Leakage
ICLR 2022