Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Get Pro 💎 Log In/Sign Up 🚀

Picture for Varun Chandrasekaran

Varun Chandrasekaran

https://www.catalyzex.com

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

Mar 27, 2023
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, Yi Zhang

Figure 1 for Sparks of Artificial General Intelligence: Early experiments with GPT-4

Figure 2 for Sparks of Artificial General Intelligence: Early experiments with GPT-4

Figure 3 for Sparks of Artificial General Intelligence: Early experiments with GPT-4

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

Access Paper or Ask Questions

Verifiable and Provably Secure Machine Unlearning

Oct 17, 2022
Thorsten Eisenhofer, Doreen Riepel, Varun Chandrasekaran, Esha Ghosh, Olga Ohrimenko, Nicolas Papernot

Figure 1 for Verifiable and Provably Secure Machine Unlearning

Figure 2 for Verifiable and Provably Secure Machine Unlearning

Figure 3 for Verifiable and Provably Secure Machine Unlearning

Figure 4 for Verifiable and Provably Secure Machine Unlearning

Access Paper or Ask Questions

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

Aug 06, 2022
Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot

Figure 1 for On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning

Figure 2 for On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning

Figure 3 for On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning

Figure 4 for On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning

Access Paper or Ask Questions

Generative Extraction of Audio Classifiers for Speaker Identification

Jul 26, 2022
Tejumade Afonja, Lucas Bourtoule, Varun Chandrasekaran, Sageev Oore, Nicolas Papernot

Figure 1 for Generative Extraction of Audio Classifiers for Speaker Identification

Figure 2 for Generative Extraction of Audio Classifiers for Speaker Identification

Figure 3 for Generative Extraction of Audio Classifiers for Speaker Identification

Figure 4 for Generative Extraction of Audio Classifiers for Speaker Identification

Access Paper or Ask Questions

Hierarchical Federated Learning with Privacy

Jun 10, 2022
Varun Chandrasekaran, Suman Banerjee, Diego Perino, Nicolas Kourtellis

Figure 1 for Hierarchical Federated Learning with Privacy

Figure 2 for Hierarchical Federated Learning with Privacy

Figure 3 for Hierarchical Federated Learning with Privacy

Figure 4 for Hierarchical Federated Learning with Privacy

Access Paper or Ask Questions

CONFIDANT: A Privacy Controller for Social Robots

Jan 08, 2022
Brian Tang, Dakota Sullivan, Bengisu Cagiltay, Varun Chandrasekaran, Kassem Fawaz, Bilge Mutlu

Figure 1 for CONFIDANT: A Privacy Controller for Social Robots

Figure 2 for CONFIDANT: A Privacy Controller for Social Robots

Figure 3 for CONFIDANT: A Privacy Controller for Social Robots

Figure 4 for CONFIDANT: A Privacy Controller for Social Robots

* HRI 2022

Access Paper or Ask Questions

Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Sep 27, 2021
Anvith Thudi, Gabriel Deza, Varun Chandrasekaran, Nicolas Papernot

Figure 1 for Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Figure 2 for Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Figure 3 for Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Figure 4 for Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Access Paper or Ask Questions

SoK: Machine Learning Governance

Sep 20, 2021
Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot

Figure 1 for SoK: Machine Learning Governance

Access Paper or Ask Questions

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

Aug 03, 2021
Adelin Travers, Lorna Licollari, Guanghan Wang, Varun Chandrasekaran, Adam Dziedzic, David Lie, Nicolas Papernot

Figure 1 for On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples

Figure 2 for On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples

Figure 3 for On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples

Figure 4 for On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples

Access Paper or Ask Questions

Log in or sign up instantly 🚀

🔥 Discover incredible developments in machine intelligence

🤖 Quickly get code for any ML model

🔑 Get help from authors, engineers & researchers

Continue with email

Continue with Google

Continue with Github

Continue with LinkedIn

Continue with Facebook

Continue with Twitter

Seconds away from lift-off 🚀

To ensure authors get your request, sign in to proceed instantly

Continue with email

Continue with Github

Continue with Twitter

Continue with Google

Continue with LinkedIn

Continue with Facebook

© 2023 CatalyzeX

Follow us