NeurIPS 2025 Workshop Reliable ML Submissions

Learning reliably under adversarial attacks, distribution shifts and strategic agents
Maria Florina Balcan, Dravyansh Sharma
- Published: 29 Sept 2025, Last Modified: 22 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Ambient Proteins: Training Diffusion Models on Low Quality Structures
Giannis Daras, Jeffrey Ouyang-Zhang, Krithika Ravishankar, William Daspit, Constantinos Costis Daskalakis, qiang liu, Adam Klivans, Daniel Jesus Diaz
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Beyond Per-Question Privacy: Multi-Query Differential Privacy for RAG Systems
Ruihan Wu, Erchi Wang, Yu-Xiang Wang
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Locks Tested Without Burglars: Using Coding Assistants to Break Prompt Injection Defenses
Atharv Singh Patlan, Pramod Viswanath, Prateek Mittal
- Published: 29 Sept 2025, Last Modified: 24 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Reweighted Flow Matching via Unbalanced Optimal Transport for Long-tailed Generation
Hyunsoo Song, Minjung Gim, Jaewoong Choi
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Robust Adversarial Reinforcement Learning in Stochastic Games via Sequence Modeling
Xiaohang Tang, Zhuowen Cheng, Satyabrat Kumar
- Published: 29 Sept 2025, Last Modified: 13 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Few-Shot Knowledge Distillation for Language Models via Counterfactual Explanations
Faisal Hamman, Pasan Dissanayake, Yanjun Fu, Sanghamitra Dutta
- Published: 29 Sept 2025, Last Modified: 24 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Human Uncertainty-Aware Reliable Data Selection and Efficient Annotation for Visual Question Answering
Jian Lan, Zhicheng Liu, Thomas Seidl
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Reliable Models via Responsiveness Verification
Meredith Stewart, Seung Hyun Cheon, Bogdan Kulynych, Tsui-Wei Weng, Berk Ustun
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Ambient Diffusion Omni
Giannis Daras, Adrian Rodriguez-Munoz, Adam Klivans, Antonio Torralba, Constantinos Costis Daskalakis
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Robust Multi-task Modeling for Bayesian Optimization via In-Context Learning
Yucen Lily Li, Samuel Daulton, Samuel Müller, Andrew Gordon Wilson, Eytan Bakshy
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Do Internal Layers of LLMs Reveal Patterns for Jailbreak Detection?
Sri Durga Sai Sowmya Kadali, Evangelos E. Papalexakis
- Published: 29 Sept 2025, Last Modified: 14 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Selective Preference Aggregation
Shreyas Kadekodi, Hayden McTavish, Berk Ustun
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
$\texttt{strategic-fl-sim}$: An Extensible Package for Simulating Strategic Behavior in Federated Learning
Dimitar A. Chakarov, Nikola Konstantinov
- Published: 29 Sept 2025, Last Modified: 23 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
From Clutter to Clarity: Visual Recognition through Foveated Object-Centric Learning (FocL)
Amitangshu Mukherjee, Deepak Ravikumar, Kaushik Roy
- Published: 29 Sept 2025, Last Modified: 23 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
From Search to Decision: A Framework for Adversarially Robust Approximate Nearest Neighbor Search
Alexandr Andoni, Themistoklis Haris, Esty Kelman, Krzysztof Onak
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Diffusion-supplemented Implicit Layers: Operator Smoothing for better Implicit Solvers
Dinislam Gabitov, Bader Rasheed, Anastasia Antsiferova, Dmitriy S. Vatolin
- Published: 29 Sept 2025, Last Modified: 24 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Inducing Uncertainty on Open-Weight Models for Test-Time Privacy in Image Recognition
Muhammad H. Ashiq, Peter Triantafillou, Hung Yun Tseng, Grigorios Chrysos
- Published: 29 Sept 2025, Last Modified: 19 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Breaking Bad: Exploring the Dangers of LLM-generated Misinformation from Fringe Social Media
Han Kyul Kim, Hansea Kim, Eunjeong Joo, Andy Skumanich
- Published: 29 Sept 2025, Last Modified: 15 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Responsible Imputation of User Behavior Surveys via Mask-Aware Transformers
Aman Shukla, Rishabh Kumar, Daniel Patrick Scantlebury
- Published: 29 Sept 2025, Last Modified: 22 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Stylistic Shifts in Human–LLM Conversations: Challenges and Adaptation
Fulei Zhang, Zhou Yu
- Published: 29 Sept 2025, Last Modified: 21 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
FairContrast: Enhancing Fairness through Contrastive learning and Customized Augmenting Methods on Tabular Data
Aida Tayebi, Ali Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi, Ozlem Garibay
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
On Fairness of Task Arithmetic: The Role of Task Vectors
Laura Gomezjurado Gonzalez, Hiroki Naganuma, Kotaro Yoshida, Takafumi Horie, Yuji Naraki, Ryotaro Shimizu
- Published: 29 Sept 2025, Last Modified: 25 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Check Yourself Before You Wreck Yourself: Selectively Quitting Improves LLM Agent Safety
Vamshi Krishna Bonagiri, Ponnurangam Kumaraguru, Khanh Xuan Nguyen, Benjamin Plaut
- Published: 29 Sept 2025, Last Modified: 25 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Information-Theoretic Conditions for Chain-of-Thought Monitorability and Methods for Improving It
Usman Anwar, Tim Bakker, Cristina Pinneri, Dana Kianfar, Christos Louizos
- Published: 29 Sept 2025, Last Modified: 12 Oct 2025
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone