Neal Mangaokar
Computer Science · University of Michigan
Publications
22
Citations
161
Est. group size
~2
Recurring co-author estimate
Active years
7
Publishing since 2020
Typically publishes in teams of ~8 · 13% small-team papers (≤3 authors) · across 3 venues
- Muse Spark Safety & Preparedness Report
arXiv (Cornell University) · 2026
- Muse Spark Safety & Preparedness Report
arXiv (Cornell University) · 2026
- Evaluating and Designing Defenses Against Input Perturbation Attacks on Black-box Machine-Learning Models
Deep Blue (University of Michigan) · 2025
- Deepfake Videos in the Wild: Analysis and Detection
2021
- T-Miner: A Generative Approach to Defend Against Trojan Attacks on\n DNN-based Text Classification
arXiv (Cornell University) · 2021
- T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification
arXiv (Cornell University) · 2021
- Deepfake Videos in the Wild: Analysis and Detection
arXiv (Cornell University) · 2021
- NoiseScope: Detecting Deepfake Images in a Blind Setting
Annual Computer Security Applications Conference · 2020
- arXiv (Cornell University)×12
- IEEE Security & Privacy×1
- Annual Computer Security Applications Conference×1
- Deep Blue (University of Michigan)×1
- Qiuling Xu
Computer Science · Purdue University West Lafayette
- Shengwei An
Computer Science · Purdue University West Lafayette
- Yisen Wang
Computer Science · University of Michigan
- Guangyu Shen
Computer Science · Purdue University West Lafayette
- Guanhong Tao
Computer Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 25, 2026.
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