2 citations · 3 across the 11 of their papers we have counts for
11 papers
GF-Score: Certified Class-Conditional Robustness Evaluation with Fairness Guarantees
Arya Shah, Kaveri Visavadiya, Manisha Padala
Adversarial robustness is essential for deploying neural networks in safety-critical applications, yet standard evaluation methods either require expensive adversarial attacks or r…
Truthful Reverse Auctions for Adaptive Selection via Contextual Multi-Armed Bandits
Pronoy Patra, Sankarshan Damle, Manisha Padala +1
We study the problem of selecting large language models (LLMs) for user queries in settings where multiple LLM providers submit the cost of solving a query. From the users' perspec…
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights
Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi +2
We present an unsupervised method for aggregating anomalies in tabular datasets by identifying the top-k tabular data quality insights. Each insight consists of a set of anomalous…
Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains
Sankarshan Damle, Manisha Padala, Sujit Gujar
Blockchains deploy Transaction Fee Mechanisms (TFMs) to determine which user transactions to include in blocks and determine their payments (i.e., transaction fees). Increasing dem…
Fair Allocation of goods and chores -- Tutorial and Survey of Recent Results
Shaily Mishra, Manisha Padala, Sujit Gujar
Fair resource allocation is an important problem in many real-world scenarios, where resources such as goods and chores must be allocated among agents. In this survey, we delve int…
Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation
Sankarshan Damle, Manisha Padala, Sujit Gujar
Civic Crowdfunding (CC) uses the ``power of the crowd'' to garner contributions towards public projects. As these projects are non-excludable, agents may prefer to ``free-ride,'' r…
Coordinating Monetary Contributions in Participatory Budgeting
Haris Aziz, Sujit Gujar, Manisha Padala +2
We formalize a framework for coordinating funding and selecting projects, the costs of which are shared among agents with quasi-linear utility functions and individual budgets. Our…
Mechanism Design without Money for Fair Allocations
Manisha Padala, Sujit Gujar
Fairness is well studied in the context of resource allocation. Researchers have proposed various fairness notions like envy-freeness (EF), and its relaxations, proportionality and…
EEF1-NN: Efficient and EF1 allocations through Neural Networks
Shaily Mishra, Manisha Padala, Sujit Gujar
Neural networks have shown state-of-the-art performance in designing auctions, where the network learns the optimal allocations and payment rule to ensure desirable properties. Mot…
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data
Samhita Kanaparthy, Manisha Padala, Sankarshan Damle +2
Fairness across different demographic groups is an essential criterion for face-related tasks, Face Attribute Classification (FAC) being a prominent example. Apart from this trend,…
Fair Allocation with Special Externalities
Shaily Mishra, Manisha Padala, Sujit Gujar
Most of the existing algorithms for fair division do not consider externalities. Under externalities, the utility an agent obtains depends not only on its allocation but also on th…