:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mao, Yuhao, Balauca, Stefan, Vechev, Martin
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2406.04848
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Understanding Certified Training with Interval Bound Propagation
par: Mao, Yuhao, et autres
Publié: (2023)

Gaussian Loss Smoothing Enables Certified Training with Tight Convex Relaxations
par: Balauca, Stefan, et autres
Publié: (2024)

MixAT: Combining Continuous and Discrete Adversarial Training for LLMs
par: Dékány, Csaba, et autres
Publié: (2025)

Expressiveness of Multi-Neuron Convex Relaxations in Neural Network Certification
par: Mao, Yuhao, et autres
Publié: (2024)

Dual Randomized Smoothing: Beyond Global Noise Variance
par: Sun, Chenhao, et autres
Publié: (2025)

Learning Compact Boolean Networks
par: Wang, Shengpu, et autres
Publié: (2026)

BrokenMath: A Benchmark for Sycophancy in Theorem Proving with LLMs
par: Petrov, Ivo, et autres
Publié: (2025)

Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets
par: Yukhymenko, Hanna, et autres
Publié: (2026)

Average Certified Radius is a Poor Metric for Randomized Smoothing
par: Sun, Chenhao, et autres
Publié: (2024)

Watermark Stealing in Large Language Models
par: Jovanović, Nikola, et autres
Publié: (2024)

AlphaIntegrator: Transformer Action Search for Symbolic Integration Proofs
par: Ünsal, Mert, et autres
Publié: (2024)

AutoBaxBuilder: Bootstrapping Code Security Benchmarking
par: von Arx, Tobias, et autres
Publié: (2025)

A Unified Framework for LLM Watermarks
par: Gloaguen, Thibaud, et autres
Publié: (2026)

A Synthetic Dataset for Personal Attribute Inference
par: Yukhymenko, Hanna, et autres
Publié: (2024)

Back to the Drawing Board for Fair Representation Learning
par: Pouget, Angéline, et autres
Publié: (2024)

Widening the Gap: Exploiting LLM Quantization via Outlier Injection
par: Zhan, Xiaohua, et autres
Publié: (2026)

Practical Hybrid Quantum Language Models with Observable Readout on Real Hardware
par: Balauca, Stefan, et autres
Publié: (2025)

COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
par: Guldimann, Philipp, et autres
Publié: (2024)

Discovering Spoofing Attempts on Language Model Watermarks
par: Gloaguen, Thibaud, et autres
Publié: (2024)

Ward: Provable RAG Dataset Inference via LLM Watermarks
par: Jovanović, Nikola, et autres
Publié: (2024)

Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning
par: Gloaguen, Thibaud, et autres
Publié: (2025)

Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
par: Mündler, Niels, et autres
Publié: (2023)

Watermarking Diffusion Language Models
par: Gloaguen, Thibaud, et autres
Publié: (2025)

CodeTaste: Can LLMs Generate Human-Level Code Refactorings?
par: Thillen, Alex, et autres
Publié: (2026)

Mind the Gap: A Practical Attack on GGUF Quantization
par: Egashira, Kazuki, et autres
Publié: (2025)

Fewer Weights, More Problems: A Practical Attack on LLM Pruning
par: Egashira, Kazuki, et autres
Publié: (2025)

SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents
par: Mündler, Niels, et autres
Publié: (2024)

Pay Attention to the Triggers: Constructing Backdoors That Survive Distillation
par: De Muri, Giovanni, et autres
Publié: (2025)

Beyond Memorization: Violating Privacy Via Inference with Large Language Models
par: Staab, Robin, et autres
Publié: (2023)

Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR
par: Egashira, Kazuki, et autres
Publié: (2026)

Exploiting LLM Quantization
par: Egashira, Kazuki, et autres
Publié: (2024)

MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs
par: Lorenz, Tobias, et autres
Publié: (2024)

Private Attribute Inference from Images with Vision-Language Models
par: Tömekçe, Batuhan, et autres
Publié: (2024)

Instruction Tuning for Secure Code Generation
par: He, Jingxuan, et autres
Publié: (2024)

On Distinguishing Capability Elicitation from Capability Creation in Post-Training: A Free-Energy Perspective
par: Li, Yuhao, et autres
Publié: (2026)

Automated Classification of Model Errors on ImageNet
par: Peychev, Momchil, et autres
Publié: (2023)

Certifying Counterfactual Bias in LLMs
par: Chaudhary, Isha, et autres
Publié: (2024)

Certified Signed Graph Unlearning
par: Zhao, Junpeng, et autres
Publié: (2025)

Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control
par: Shi, Zhouxing, et autres
Publié: (2024)

Rethinking Evaluation Paradigms in IBP-based Certified Training
par: Kaulen, Konstantin, et autres
Publié: (2026)