Manish Bhatt

According to our database, Manish Bhatt authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models.

Shengye Wan, Cyrus Nikolaidis, Daniel Song, David Molnar, James Crnkovich, Jayson Grace, Manish Bhatt, Sahana Chennabasappa, Spencer Whitman, Stephanie Ding, Vlad Ionescu, Yue Li, Joshua Saxe

CoRR, 2024

CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models.

Manish Bhatt, Sahana Chennabasappa, Yue Li, Cyrus Nikolaidis, Daniel Song, Shengye Wan, Faizan Ahmad, Cornelius Aschermann, Yaohui Chen, Dhaval Kapil, David Molnar, Spencer Whitman, Joshua Saxe

CoRR, 2024

Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.

Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu

CoRR, 2024

Cross-Modality Medical Image Registration with Local-Global Spatial Correlation.

Souraja Kundu, Yuji Iwahori, Manas Kamal Bhuyan, Manish Bhatt, Boonserm Kijsirikul, Aili Wang, Akira Ouchi, Yasuhiro Shimizu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models.

Manish Bhatt, Sahana Chennabasappa, Cyrus Nikolaidis, Shengye Wan, Ivan Evtimov, Dominik Gabi, Daniel Song, Faizan Ahmad, Cornelius Aschermann, Lorenzo Fontana, Sasha Frolov, Ravi Prakash Giri, Dhaval Kapil, Yiannis Kozyrakis, David LeBlanc, James Milazzo, Aleksandar Straumann, Gabriel Synnaeve, Varun Vontimitta, Spencer Whitman, Joshua Saxe

CoRR, 2023

Code Llama: Open Foundation Models for Code.

Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton-Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve

CoRR, 2023

2020

Hierarchy-Based File Fragment Classification.

Manish Bhatt, Avdesh Mishra, Md Wasi Ul Kabir, S. E. Blake-Gatto, Rishav Rajendra, Md. Tamjidul Hoque, Irfan Ahmed

Mach. Learn. Knowl. Extr., 2020

Deep Learning in Ultrasound Elastography Imaging.

Hongliang Li, Manish Bhatt, Zhen Qu, Shiming Zhang, Martin C. Hartel, Ali Khademhosseini, Guy Cloutier

CoRR, 2020

2018

Leveraging relocations in ELF-binaries for Linux kernel version identification.

Manish Bhatt, Irfan Ahmed

Digit. Investig., 2018

Using Virtual Machine Introspection for Operating Systems Security Education.

Manish Bhatt, Irfan Ahmed, Zhiqiang Lin

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

2017

Automatic Mitigation of Kernel Rootkits in Cloud Environments.

Jonathan Grimm, Irfan Ahmed, Vassil Roussev, Manish Bhatt, Manpyo Hong

Proceedings of the Information Security Applications - 18th International Conference, 2017