:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Adilova, Linara, Andriushchenko, Maksym, Kamp, Michael, Fischer, Asja, Jaggi, Martin
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2307.06966
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Landscaping Linear Mode Connectivity
by: Singh, Sidak Pal, et al.
Published: (2024)

When Flatness Does (Not) Guarantee Adversarial Robustness
by: Walter, Nils Philipp, et al.
Published: (2025)

The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
by: Walter, Nils Philipp, et al.
Published: (2024)

Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking
by: Han, Ting, et al.
Published: (2025)

QuantSightBench: Evaluating LLM Quantitative Forecasting with Prediction Intervals
by: Qin, Jeremy, et al.
Published: (2026)

Does Refusal Training in LLMs Generalize to the Past Tense?
by: Andriushchenko, Maksym, et al.
Published: (2024)

Agent Skills Enable a New Class of Realistic and Trivially Simple Prompt Injections
by: Schmotz, David, et al.
Published: (2025)

Fisher information flow in artificial neural networks
by: Weimar, Maximilian, et al.
Published: (2025)

Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
by: Andriushchenko, Maksym, et al.
Published: (2024)

Critical Influence of Overparameterization on Sharpness-aware Minimization
by: Shin, Sungbin, et al.
Published: (2023)

Exploring Memorization and Copyright Violation in Frontier LLMs: A Study of the New York Times v. OpenAI 2023 Lawsuit
by: Freeman, Joshua, et al.
Published: (2024)

Why Do We Need Weight Decay in Modern Deep Learning?
by: D'Angelo, Francesco, et al.
Published: (2023)

Single-Model Attribution of Generative Models Through Final-Layer Inversion
by: Laszkiewicz, Mike, et al.
Published: (2023)

Is In-Context Learning Sufficient for Instruction Following in LLMs?
by: Zhao, Hao, et al.
Published: (2024)

Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks
by: Schmotz, David, et al.
Published: (2026)

On the regularization of Wasserstein GANs
by: Petzka, Henning, et al.
Published: (2017)

Capability-Based Scaling Trends for LLM-Based Red-Teaming
by: Panfilov, Alexander, et al.
Published: (2025)

Generalized Linear Mode Connectivity for Transformers
by: Theus, Alexander, et al.
Published: (2025)

Connecting Independently Trained Modes via Layer-Wise Connectivity
by: Tian, Yongding, et al.
Published: (2025)

Helpful to a Fault: Measuring Illicit Assistance in Multi-Turn, Multilingual LLM Agents
by: Talokar, Nivya, et al.
Published: (2026)

Comparative Study on Noise-Augmented Training and its Effect on Adversarial Robustness in ASR Systems
by: Pizzi, Karla, et al.
Published: (2024)

Robustifying automatic speech recognition by extracting slowly varying features
by: Pizarro, Matías, et al.
Published: (2021)

Linear Mode Connectivity in Differentiable Tree Ensembles
by: Kanoh, Ryuichi, et al.
Published: (2024)

On Linear Mode Connectivity of Mixture-of-Experts Architectures
by: Tran, Viet-Hoang, et al.
Published: (2025)

Learning Sparse Codes with Entropy-Based ELBOs
by: Velychko, Dmytro, et al.
Published: (2023)

Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks
by: Pizarro, Matías, et al.
Published: (2026)

DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution
by: Pizarro, Matías, et al.
Published: (2023)

Analyzing the Role of Permutation Invariance in Linear Mode Connectivity
by: Zhan, Keyao, et al.
Published: (2025)

Linear Mode Connectivity in Sparse Neural Networks
by: McDermott, Luke, et al.
Published: (2023)

Integrating uncertainty quantification into randomized smoothing based robustness guarantees
by: Däubener, Sina, et al.
Published: (2024)

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification
by: Sun, Jiawei, et al.
Published: (2025)

OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents
by: Kuntz, Thomas, et al.
Published: (2025)

Towards an Optimal Control Perspective of ResNet Training
by: Püttschneider, Jens, et al.
Published: (2025)

Decomposing and Measuring Evaluation Awareness
by: Li, Changling, et al.
Published: (2026)

Proving Linear Mode Connectivity of Neural Networks via Optimal Transport
by: Ferbach, Damien, et al.
Published: (2023)

Lightweight Model Attribution and Detection of Synthetic Speech via Audio Residual Fingerprints
by: Pizarro, Matías, et al.
Published: (2024)

Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks
by: Kosson, Atli, et al.
Published: (2023)

HyperINF: Unleashing the HyperPower of the Schulz's Method for Data Influence Estimation
by: Zhou, Xinyu, et al.
Published: (2024)

Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training
by: Kosson, Atli, et al.
Published: (2024)

Benchmarking Optimizers for Large Language Model Pretraining
by: Semenov, Andrei, et al.
Published: (2025)