| Auditing Empirical Privacy Protection of Private LLM Adaptations |
Bartłomiej Marek, Vincent Hanke, Xun Wang, Michael Backes, Adam Dziedzic, Franziska Boenisch |
| B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable |
Shreyash Arya, Sukrut Rao, Moritz Böhle, Bernt Schiele |
| How Do Training Methods Influence the Utilization of Vision Models? |
Paul Gavrikov, Shashank Agnihotri, Margret Keuper, Janis Keuper |
| The Expressive Capacity of State Space Models: A Formal Language Perspective |
Yash Sarrof, Yana Veitsman, Michael Hahn |
| Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models |
Dominik Hintersdorf, Lukas Struppek, Kristian Kersting, Adam Dziedzic, Franziska Boenisch |
| InversionView: A General-Purpose Method for Reading Information from Neural Activations |
Xinting Huang, Madhur Panwar, Navin Goyal, Michael Hahn |
| Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models |
Hui-Po Wang, Mario Fritz |
| Learning Better Representations From Less Data For Propositional Satisfiability |
Mohamed Ghanem, Frederik Schmitt, Julian Siber, Bernd Finkbeiner |
| LLM Dataset Inference: Detect Datasets, not Strings |
Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic |
| Localizing Memorization in SSL Vision Encoders |
Wenhao Wang, Adam Dziedzic, Michael Backes, Franziska Boenisch |
| Open LLMs are Necessary for Private Adaptations and Outperform their Closed Alternatives |
Vincent Hanke, Tom Blanchard, Franziska Boenisch, Iyiola Emmanuel Olatunji, Michael Backes, Adam Dziedzic |
| Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets |
Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Jan Eric Lenssen, Bernt Schiele |
| Separations in the Representational Capabilities of Transformers and Recurrent Architectures |
Satwik Bhattamishra, Michael Hahn, Phil Blunsom, Varun Kanade |
| SoLAR: Surrogate Label Aware GNN Rewiring |
Celia Rubio-Madrigal, Adarsh Jamadandi, Rebekka Burkholz |
| Spectral Graph Pruning Against Over-Squashing and Over-Smoothing |
Adarsh Jamadandi, Celia Rubio-Madrigal and Rebekka Burkholz |
| Stabilized Proximal Point Methods for Federated Optimization |
Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich |
| Training GNNs in Balance by Dynamic Rescaling |
Nimrah Mustafa, Rebekka Burkholz |
| Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction |
Anton Rodomanov, Xiaowen Jiang, Sebastian Stich |
| Pruning neural network models for gene regulatory dynamics using data and domain knowledge |
Intekhab Hossain, Jonas Fischer, Rebekka Burkholz, John Quackenbush |
| Causal Discovery from Event Sequences by Local Cause-Effect Attribution |
Joscha Cüppers, Sascha Xu, Ahmed Musa and Jilles Vreeken |
| NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory |
Navami Kairanda, Marc Habermann, Christian Theobalt, Vladislav Golyanik |
| Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation |
Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz |