Chandrasekaran, Varun

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

Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y. T., Li, Y., Lundberg, S., et al. (2023) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 1,526

Machine Unlearning

Bourtoule, L., Chandrasekaran, V., Choquette-Choo, C. A., Jia, H., Travers, A., Zhang, B., Lie, D., & Papernot, N. (2021) · 2021 IEEE Symposium on Security and Privacy (SP)

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 810

Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Thudi, A., Deza, G., Chandrasekaran, V., & Papernot, N. (2022) · 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P)

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 135

Generative Monoculture in Large Language Models

Wu, F., Black, E., & Chandrasekaran, V. (2024) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 7

Bypassing LLM Watermarks with Color-Aware Substitutions

Wu, Q., & Chandrasekaran, V. (2024) · arXiv

Adversarial Robustness in Machine LearningAdvanced Steganography and Watermarking Techniques

Cited by 7