Varun Chandrasekaran

According to our database¹, Varun Chandrasekaran authored at least 39 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Bypassing LLM Watermarks with Color-Aware Substitutions.

[BibT_eX]

[DOI]

Qilong Wu

Varun Chandrasekaran

CoRR, 2024

Designing Informative Metrics for Few-Shot Example Selection.

[BibT_eX]

[DOI]

Rishabh Adiga

Lakshminarayanan Subramanian

Varun Chandrasekaran

CoRR, 2024

2023

Privately Aligning Language Models with Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval.

[BibT_eX]

[DOI]

Rahee Ghosh Peshawaria

Ranjita Naik

Besmira Nushi

CoRR, 2023

Why Train More? Effective and Efficient Membership Inference via Memorization.

[BibT_eX]

[DOI]

CoRR, 2023

Diversity of Thought Improves Reasoning Abilities of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Teaching Language Models to Hallucinate Less with Synthetic Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Sparks of Artificial General Intelligence: Early experiments with GPT-4.

[BibT_eX]

[DOI]

CoRR, 2023

Proof-of-Learning is Currently More Broken Than You Think.

[BibT_eX]

[DOI]

Christopher A. Choquette-Choo

Natalie Dullerud

Varun Chandrasekaran

Nicolas Papernot

Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

2022

Verifiable and Provably Secure Machine Unlearning.

[BibT_eX]

[DOI]

CoRR, 2022

On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning.

[BibT_eX]

[DOI]

Christopher A. Choquette-Choo

Natalie Dullerud

Varun Chandrasekaran

Nicolas Papernot

CoRR, 2022

Generative Extraction of Audio Classifiers for Speaker Identification.

[BibT_eX]

[DOI]

CoRR, 2022

Hierarchical Federated Learning with Privacy.

[BibT_eX]

[DOI]

CoRR, 2022

CONFIDANT: A Privacy Controller for Social Robots.

[BibT_eX]

[DOI]

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Unrolling SGD: Understanding Factors Influencing Machine Unlearning.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE European Symposium on Security and Privacy, 2022

2021

Face-Off: Adversarial Face Obfuscation.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2021

SoK: Machine Learning Governance.

[BibT_eX]

[DOI]

CoRR, 2021

On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, 2021

Causally Constrained Data Synthesis for Private Data Release.

[BibT_eX]

[DOI]

CoRR, 2021

Entangled Watermarks as a Defense against Model Extraction.

[BibT_eX]

[DOI]

Hengrui Jia

Christopher A. Choquette-Choo

Varun Chandrasekaran

Nicolas Papernot

Proceedings of the 30th USENIX Security Symposium, 2021

Proof-of-Learning: Definitions and Practice.

[BibT_eX]

[DOI]

Hengrui Jia

Mohammad Yaghini

Christopher A. Choquette-Choo

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Machine Unlearning.

[BibT_eX]

[DOI]

Lucas Bourtoule

Varun Chandrasekaran

Christopher A. Choquette-Choo

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

PowerCut and Obfuscator: An Exploration of the Design Space for Privacy-Preserving Interventions for Smart Speakers.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth Symposium on Usable Privacy and Security, 2021

A General Framework For Detecting Anomalous Inputs to DNN Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Fourth International Workshop on Dependable and Secure Machine Learning - DSML 2021.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2021

2020

Detecting Anomalous Inputs to DNN Classifiers By Joint Statistical Testing at the Layers.

[BibT_eX]

[DOI]

CoRR, 2020

Face-Off: Adversarial Face Obfuscation.

[BibT_eX]

[DOI]

CoRR, 2020

On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping.

[BibT_eX]

[DOI]

CoRR, 2020

Exploring Connections Between Active Learning and Model Extraction.

[BibT_eX]

[DOI]

Proceedings of the 29th USENIX Security Symposium, 2020

Third International Workshop on Dependable and Secure Machine Learning - DSML 2020.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2020

2019

Generating Semantic Adversarial Examples with Differentiable Rendering.

[BibT_eX]

[DOI]

CoRR, 2019

Enhancing ML Robustness Using Physical-World Constraints.

[BibT_eX]

[DOI]

CoRR, 2019

A Framework for Analyzing Spectrum Characteristics in Large Spatio-temporal Scales.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

2018

Characterizing Privacy Perceptions of Voice Assistants: A Technology Probe Study.

[BibT_eX]

[DOI]

CoRR, 2018

Model Extraction and Active Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Traversing the Quagmire that is Privacy in your Smart Home.

[BibT_eX]

[DOI]

Proceedings of the 2018 Workshop on IoT Security and Privacy, 2018

2016

Secure Mobile Identities.

[BibT_eX]

[DOI]

Varun Chandrasekaran

Fareeha Amjad

Ashlesh Sharma

Lakshminarayanan Subramanian

CoRR, 2016

Alphacodes: Usable, Secure Transactions with Untrusted Providers using Human Computable Puzzles.

[BibT_eX]

[DOI]

Lakshminarayanan Subramanian

Proceedings of the 7th Annual Symposium on Computing for Development, 2016

Varun Chandrasekaran

Timeline

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On csauthors.net:

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