Mark Vero
11 papers · 2023–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🤝 Dynamic Duo (11)
👑
Triple Crown
💎
Century Club
(11)
❓
The Questioner
⚡
Prolific Year
(6)
Conferences
ICML (6)
NIPS (3)
ICLR (2)
Top co-authors
Research topics
Keywords
federated learning
(1)
model quantization
(1)
uncertainty quantification
(1)
synthetic data generation
(1)
attribute recognition
(1)
projected gradient descent
(1)
adversarial attack
(1)
vision-language model
(1)
tabular datum
(1)
privacy leakage
(1)
privacy risk
(1)
optimization problem
(1)
reconstruction attack
(1)
author profiling
(1)
large language model
(1)
quantized model
(1)
data reconstruction attack
(1)
personal attribute
(1)
full-precision model
(1)
privacy inference
(1)
Papers
Language Models are Advanced Anonymizers
ICLR 2025
BaxBench: Can LLMs Generate Correct and Secure Backends?
ICML 2025
Mind the Gap: A Practical Attack on GGUF Quantization
ICML 2025
Black-Box Adversarial Attacks on LLM-Based Code Completion
ICML 2025
Instruction Tuning for Secure Code Generation
ICML 2024
CuTS: Customizable Tabular Synthetic Data Generation
ICML 2024
Exploiting LLM Quantization
NIPS 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
TabLeak: Tabular Data Leakage in Federated Learning
ICML 2023