Jimmy Dani

According to our database, Jimmy Dani authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities.

Kalyan Nakka, Jimmy Dani, Ausmit Mondal, Nitesh Saxena

CoRR, May, 2025

MIND-Crypt: A Machine Learning Framework for Assessing the Indistinguishability of Lightweight Block Ciphers Across Multiple Modes of Operation.

Jimmy Dani, Kalyan Nakka, Nitesh Saxena

Cryptogr., 2025

The First Early Evidence of the Use of Browser Fingerprinting for Online Tracking.

Zengrui Liu, Jimmy Dani, Yinzhi Cao, Shujiang Wu, Nitesh Saxena

Proceedings of the ACM on Web Conference 2025, 2025

A Machine Learning-Based Framework for Assessing Cryptographic Indistinguishability of Lightweight Block Ciphers.

Jimmy Dani, Kalyan Nakka, Nitesh Saxena

Proceedings of the 22nd Annual International Conference on Privacy, Security, and Trust, 2025

LiteLMGuard: Seamless and Lightweight On-Device Guardrails for Small Language Models against Quantization Vulnerabilities.

Kalyan Nakka, Jimmy Dani, Ausmit Mondal, Nitesh Saxena

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference.

Tzu-Shen Wang, Jimmy Dani, Juan A. Garay, Soamar Homsi, Nitesh Saxena

Proceedings of the Cyber Security, Cryptology, and Machine Learning, 2025

2024

Breaking Indistinguishability with Transfer Learning: A First Look at SPECK32/64 Lightweight Block Ciphers.

Jimmy Dani, Kalyan Nakka, Nitesh Saxena

IACR Cryptol. ePrint Arch., 2024

Identified-and-Targeted: The First Early Evidence of the Privacy-Invasive Use of Browser Fingerprinting for Online Tracking.

Zengrui Liu, Jimmy Dani, Shujiang Wu, Yinzhi Cao, Nitesh Saxena

CoRR, 2024

When AI Defeats Password Deception! A Deep Learning Framework to Distinguish Passwords and Honeywords.

Jimmy Dani, Brandon McCulloh, Nitesh Saxena

CoRR, 2024

Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models.

Kalyan Nakka, Jimmy Dani, Nitesh Saxena

CoRR, 2024

2023

TripletPower: Deep-Learning Side-Channel Attacks over Few Traces.

Chenggang Wang, Jimmy Dani, Shane Reilly, Austen Brownfield, Boyang Wang, John Marty Emmert

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2023

2022

AdvTraffic: Obfuscating Encrypted Traffic with Adversarial Examples.

Hao Liu, Jimmy Dani, Hongkai Yu, Wenhai Sun, Boyang Wang

Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

2021

HiddenText: Cross-Trace Website Fingerprinting over Encrypted Traffic.

Jimmy Dani, Boyang Wang

Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

Adaptive Fingerprinting: Website Fingerprinting over Few Encrypted Traffic.

Chenggang Wang, Jimmy Dani, Xiang Li, Xiaodong Jia, Boyang Wang

Proceedings of the CODASPY '21: Eleventh ACM Conference on Data and Application Security and Privacy, 2021