NeurIPS 2022 Workshop TSRML Submissions

Improving Fairness in Image Classification via Sketching
Ruichen Yao, Ziteng Cui, Xiaoxiao Li, Lin Gu
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack
Raksha Ramakrishna, György Dán
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Case Study: Applying Decision Focused Learning in the Real World
Shresth Verma, Aditya Mate, Kai Wang, Aparna Taneja, Milind Tambe
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Assessing Performance and Fairness Metrics in Face Recognition - Bootstrap Methods
Jean-Rémy Conti, Stephan Clémençon
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Generating Intuitive Fairness Specifications for Natural Language Processing
Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin Vechev
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Learning from uncertain concepts via test time interventions
Ivaxi Sheth, Aamer Abdul Rahman, Laya Rafiee Sevyeri, Mohammad Havaei, Samira Ebrahimi Kahou
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Towards Reasoning-Aware Explainable VQA
Rakesh Vaideeswaran, Feng Gao, ABHINAV MATHUR, Govind Thattai
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Beyond Protected Attributes: Disciplined Detection of Systematic Deviations in Data
Adebayo Oshingbesan, Winslow Georgos Omondi, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
A Stochastic Optimization Framework for Fair Risk Minimization
Andrew Lowy, Sina Baharlouei, Rakesh Pavan, Meisam Razaviyayn, Ahmad Beirami
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
On the Trade-Off between Actionable Explanations and the Right to be Forgotten
Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
But Are You Sure? Quantifying Uncertainty in Model Explanations
Charles Thomas Marx, Youngsuk Park, Hilaf Hasson, Bernie Wang, Stefano Ermon, Luke Huan
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Fairness-aware Missing Data Imputation
Yiliang Zhang, Qi Long
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Responsible Reasoning with Large Language Models and The Impact of Proper Nouns
Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Susmit Jha
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
When Personalization Harms: Reconsidering the Use of Group Attributes of Prediction
Vinith Menon Suriyakumar, Marzyeh Ghassemi, Berk Ustun
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
An Analysis of Social Biases Present in BERT Variants Across Multiple Languages
Parishad BehnamGhader, Aristides Milios
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Denoised Smoothing with Sample Rejection for Robustifying Pretrained Classifiers
Fatemeh Sheikholeslami, Wan-Yi Lin, Jan Hendrik Metzen, Huan Zhang, J Zico Kolter
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
On the Robustness of deep learning-based MRI Reconstruction to image transformations
Jinghan Jia, Mingyi Hong, Yimeng Zhang, Mehmet Akcakaya, Sijia Liu
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Real world relevance of generative counterfactual explanations
Swami Sankaranarayanan, Thomas Hartvigsen, Lauren Oakden-Rayner, Marzyeh Ghassemi, Phillip Isola
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Quantifying Social Biases Using Templates is Unreliable
Preethi Seshadri, Pouya Pezeshkpour, Sameer Singh
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
DensePure: Understanding Diffusion Models towards Adversarial Robustness
Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
- Published: 21 Nov 2022, Last Modified: 21 Apr 2024
- TSRML2022
- Readers: Everyone
A Fair Loss Function for Network Pruning
Robbie Meyer, Alexander Wong
- Published: 21 Nov 2022, Last Modified: 21 Apr 2024
- TSRML2022
- Readers: Everyone
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of the Final Model
Nathalie Baracaldo, Kevin Eykholt, Farhan Ahmed, Yi Zhou, Shriti Priya, Taesung Lee, Swanand Kadhe, Yusong Tan, Sridevi Polavaram, Sterling Suggs, Yuyang Gao, David Slater
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Private Data Leakage via Exploiting Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems
Hanieh Hashemi, Wenjie Xiong, Liu Ke, Kiwan Maeng, Murali Annavaram, G. Edward Suh, Hsien-Hsin S. Lee
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
A Brief Overview of AI Governance for Responsible Machine Learning Systems
Navdeep Gill, Abhishek Mathur, Marcos V. Conde
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Data Redaction from Pre-trained GANs
Zhifeng Kong, Kamalika Chaudhuri
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone