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05/31/2023
Diffused Redundancy in Pre-trained Representations
Representations learned by pre-training a neural network on a large data...
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05/30/2023
Pointwise Representational Similarity
With the increasing reliance on deep neural networks, it is important to...
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05/28/2023
Understanding Blockchain Governance: Analyzing Decentralized Voting to Amend DeFi Smart Contracts
Smart contracts are contractual agreements between participants of a blo...
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02/14/2023
Dissecting Bitcoin and Ethereum Transactions: On the Lack of Transaction Contention and Prioritization Transparency in Blockchains
In permissionless blockchains, transaction issuers include a fee to ince...
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01/12/2023
Leveraging Rights of Data Subjects for Social Media Analysis: Studying TikTok via Data Donations
TikTok is a relatively novel and widely popular media platform. In respo...
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09/08/2022
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making
Machine learning algorithms are increasingly used to assist human decisi...
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06/23/2022
Measuring Representational Robustness of Neural Networks Through Shared Invariances
A major challenge in studying robustness in deep learning is defining th...
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05/10/2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Decision making algorithms, in practice, are often trained on data that ...
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04/26/2022
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction
Recently, almost all conferences have moved to virtual mode due to the p...
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04/01/2022
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms
Related Item Recommendations (RIRs) are ubiquitous in most online platfo...
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02/08/2022
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers
In traditional (desktop) e-commerce search, a customer issues a specific...
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01/19/2022
"Learn the Facts About COVID-19": Analyzing the Use of Warning Labels on TikTok Videos
During the COVID-19 pandemic, health-related misinformation and harmful ...
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12/26/2021
Towards Fair Recommendation in Two-Sided Platforms
Many online platforms today (such as Amazon, Netflix, Spotify, LinkedIn,...
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12/10/2021
On Fair Selection in the Presence of Implicit and Differential Variance
Discrimination in selection problems such as hiring or college admission...
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11/29/2021
Exploring Alignment of Representations with Human Perception
We argue that a valuable perspective on when a model learns good represe...
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10/22/2021
Selfish Opaque Transaction Ordering in the Bitcoin Blockchain: The Case for Chain Neutrality
Most public blockchain protocols, including the popular Bitcoin and Ethe...
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09/09/2021
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning
Reliably predicting potential failure risks of machine learning (ML) sys...
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06/05/2021
Modeling Coordinated vs. P2P Mining: An Analysis of Inefficiency and Inequality in Proof-of-Work Blockchains
We study efficiency in a proof-of-work blockchain with non-zero latencie...
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05/10/2021
Loss-Aversively Fair Classification
The use of algorithmic (learning-based) decision making in scenarios tha...
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05/10/2021
Accounting for Model Uncertainty in Algorithmic Discrimination
Traditional approaches to ensure group fairness in algorithmic decision ...
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05/06/2021
CrossWalk: Fairness-enhanced Node Representation Learning
The potential for machine learning systems to amplify social inequities ...
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01/30/2021
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces
Algorithmic recommendations mediate interactions between millions of cus...
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10/24/2020
On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction
The (COVID-19) pandemic-induced restrictions on travel and social gather...
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07/01/2020
Unifying Model Explainability and Robustness via Machine-Checkable Concepts
As deep neural networks (DNNs) get adopted in an ever-increasing number ...
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06/24/2020
On Fair Selection in the Presence of Implicit Variance
Quota-based fairness mechanisms like the so-called Rooney rule or four-f...
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05/19/2020
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy
Fairness concerns about algorithmic decision-making systems have been ma...
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02/25/2020
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
We investigate the problem of fair recommendation in the context of two-...
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10/30/2019
DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning
We introduce a framework for dynamic adversarial discovery of informatio...
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10/22/2019
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision
The notion of individual fairness requires that similar people receive s...
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09/22/2019
Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations
Major online platforms today can be thought of as two-sided markets with...
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09/22/2019
Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly
Major online platforms today can be thought of as two-sided markets with...
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09/12/2019
Minimizing Margin of Victory for Fair Political and Educational Districting
In many practical scenarios, a population is divided into disjoint group...
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07/02/2019
Operationalizing Individual Fairness with Pairwise Fair Representations
We revisit the notion of individual fairness proposed by Dwork et al. A ...
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05/16/2019
On the Fairness of Time-Critical Influence Maximization in Social Networks
Influence maximization has found applications in a wide range of real-wo...
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03/04/2019
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning
Most existing notions of algorithmic fairness are one-shot: they ensure ...
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12/02/2018
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems
The increasing role of recommender systems in many aspects of society ma...
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09/10/2018
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity
Equality of opportunity (EOP) is an extensively studied conception of fa...
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07/02/2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices
Discrimination via algorithmic decision making has received considerable...
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06/13/2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
We draw attention to an important, yet largely overlooked aspect of eval...
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06/08/2018
Blind Justice: Fairness with Encrypted Sensitive Attributes
Recent work has explored how to train machine learning models which do n...
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06/04/2018
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making
People are rated and ranked, towards algorithmic decision making in an i...
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05/04/2018
Equity of Attention: Amortizing Individual Fairness in Rankings
Rankings of people and items are at the heart of selection-making, match...
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02/26/2018
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction
As algorithms are increasingly used to make important decisions that aff...
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06/30/2017
From Parity to Preference-based Notions of Fairness in Classification
The adoption of automated, data-driven decision making in an ever expand...
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06/30/2017
On Fairness, Diversity and Randomness in Algorithmic Decision Making
Consider a binary decision making process where a single machine learnin...
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10/31/2016
The Case for Temporal Transparency: Detecting Policy Change Events in Black-Box Decision Making Systems
Bringing transparency to black-box decision making systems (DMS) has bee...
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10/26/2016