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2020 – today
- 2025
[j4]Sean Oesch, Phillipe Austria, Amul Chaulagain, Brian Weber, Cory L. Watson, Matthew Dixson, Amir Sadovnik:
The Path to Autonomous Cyberdefense. IEEE Secur. Priv. 23(1): 38-46 (2025)- 2024
- [j3]Garriy Shteynberg
, Jodi Halpern, Amir Sadovnik, Jon Garthoff, Anat Perry, Jessica Hay, Carlos Montemayor, Michael A. Olson, Tim L. Hulsey, Abrol Fairweather:
Does it matter if empathic AI has no empathy? Nat. Mac. Intell. 6(5): 496-497 (2024) - [c21]Camila Roa, Maria Mahbub, Sudarshan Srinivasan, Edmon Begoli, Amir Sadovnik:
Semantic Stealth: Crafting Covert Adversarial Patches for Sentiment Classifiers Using Large Language Models. AISec@CCS 2024: 42-52 - [c20]Syed Irfan Ali Meerza, Amir Sadovnik, Jian Liu:
ConFUSE: Confusion-based Federated Unlearning with Salience Exploration. ISVLSI 2024: 427-432 - [c19]Sean Oesch, Amul Chaulagain, Brian Weber, Matthew Dixson, Amir Sadovnik, Benjamin Roberson, Cory L. Watson, Phillipe Austria:
Towards a High Fidelity Training Environment for Autonomous Cyber Defense Agents. CSET @ USENIX Security Symposium 2024: 91-99 - [i9]Elijah Berberette, Jack Hutchins, Amir Sadovnik:
Redefining "Hallucination" in LLMs: Towards a psychology-informed framework for mitigating misinformation. CoRR abs/2402.01769 (2024) - [i8]Sean Oesch, Phillipe Austria, Amul Chaulagain, Brian Weber, Cory L. Watson, Matthew Dixson, Amir Sadovnik:
The Path To Autonomous Cyber Defense. CoRR abs/2404.10788 (2024) - [i7]Luke Koch, Sean Oesch, Amul Chaulagain, Jared Dixon, Matthew Dixon, Mike Huettal, Amir Sadovnik, Cory L. Watson, Brian Weber, Jacob Hartman, Richard Patulski:
On the Abuse and Detection of Polyglot Files. CoRR abs/2407.01529 (2024) - [i6]Arka Daw, Megan Hong-Thanh Chung, Maria Mahbub, Amir Sadovnik:
Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images. CoRR abs/2410.13010 (2024) - [i5]Sudarshan Srinivasan, Maria Mahbub, Amir Sadovnik:
Advancing NLP Security by Leveraging LLMs as Adversarial Engines. CoRR abs/2410.18215 (2024) - [i4]Moyang Guo, Yuepeng Hu, Zhengyuan Jiang, Zeyu Li, Amir Sadovnik, Arka Daw, Neil Gong:
AI-generated Image Detection: Passive or Watermark? CoRR abs/2411.13553 (2024) - 2023
- [c18]Fabian Fallas-Moya, Saúl Calderón Ramírez, Amir Sadovnik, Hairong Qi:
Object Detection in Pineapple Fields Drone Imagery Using Few Shot Learning and the Segment Anything Model. ICMLA 2023: 1635-1642 - 2022
- [j2]Wenliang Guo, Xiao Xiao, Yilong Hui, Wenming Yang, Amir Sadovnik:
Heterogeneous Attention Nested U-Shaped Network for Blur Detection. IEEE Signal Process. Lett. 29: 140-144 (2022) - [c17]Taher Naderi, Amir Sadovnik, Jason P. Hayward, Hairong Qi:
Monocular Depth Estimation with Adaptive Geometric Attention. WACV 2022: 617-627 - 2021
- [j1]Xiao Xiao, Fan Yang, Amir Sadovnik:
MSDU-Net: A Multi-Scale Dilated U-Net for Blur Detection. Sensors 21(5): 1873 (2021) - [c16]Fabian Fallas-Moya, Jeremiah Duncan, Tabitha K. Samuel, Amir Sadovnik:
Measuring the Impact of Memory Replay in Training Pacman Agents using Reinforcement Learning. CLEI 2021: 1-8 - [c15]Henry Eigen, Amir Sadovnik:
TopKConv: Increased Adversarial Robustness Through Deeper Interpretability. ICMLA 2021: 15-22 - [c14]Fabian Fallas-Moya, Manfred Gonzalez-Hernandez, Amir Sadovnik:
Size Does Matter: Overcoming Limitations during Training when using a Feature Pyramid Network. ICMLA 2021: 1553-1560 - [i3]Fengpei Yuan, Amir Sadovnik, Ran Zhang, Devin Casenhiser, Eun Jin Paek, Si On Yoon, Xiaopeng Zhao:
A Simulated Experiment to Explore Robotic Dialogue Strategies for People with Dementia. CoRR abs/2104.08940 (2021) - 2020
- [c13]James K. Senter, Dan Wilson, Amir Sadovnik:
Reinforcement Learning for Elimination of Reentrant Spiral Waves in Excitable Media. ACC 2020: 4034-4039
2010 – 2019
- 2019
- [c12]James K. Senter, Taylor M. Royalty, Andrew D. Steen, Amir Sadovnik:
Unaligned Sequence Similarity Search Using Deep Learning. BIBM 2019: 1892-1899 - [i2]James K. Senter, Taylor M. Royalty, Andrew D. Steen, Amir Sadovnik:
Unaligned Sequence Similarity Search Using Deep Learning. CoRR abs/1909.06929 (2019) - 2018
- [c11]Amir Sadovnik, Wassim Gharbi, Thanh Vu, Andrew C. Gallagher:
Finding Your Lookalike: Measuring Face Similarity Rather Than Face Identity. CVPR Workshops 2018: 2345-2353 - [i1]Amir Sadovnik, Wassim Gharbi, Thanh Vu, Andrew C. Gallagher:
Finding your Lookalike: Measuring Face Similarity Rather than Face Identity. CoRR abs/1806.05252 (2018) - 2017
- [c10]Thomas L. Fuller, Amir Sadovnik:
Image level color classification for colorblind assistance. ICIP 2017: 1985-1989 - 2016
- [c9]Kuan-Chuan Peng, Amir Sadovnik, Andrew C. Gallagher, Tsuhan Chen:
Where do emotions come from? Predicting the Emotion Stimuli Map. ICIP 2016: 614-618 - 2015
- [c8]Kuan-Chuan Peng, Tsuhan Chen, Amir Sadovnik, Andrew C. Gallagher:
A mixed bag of emotions: Model, predict, and transfer emotion distributions. CVPR 2015: 860-868 - 2013
- [c7]Amir Sadovnik, Andrew C. Gallagher, Tsuhan Chen:
Not Everybody's Special: Using Neighbors in Referring Expressions with Uncertain Attributes. CVPR Workshops 2013: 269-276 - [c6]Amir Sadovnik, Andrew C. Gallagher, Tsuhan Chen:
It's Not Polite to Point: Describing People with Uncertain Attributes. CVPR 2013: 3089-3096 - [c5]Amir Sadovnik, Andrew C. Gallagher, Devi Parikh, Tsuhan Chen:
Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing. ICCV 2013: 2160-2167 - [c4]Amir Sadovnik, Tsuhan Chen:
A visual dictionary attack on Picture Passwords. ICIP 2013: 4447-4451 - 2012
- [c3]Amir Sadovnik, Yi-I Chiu, Noah Snavely, Shimon Edelman, Tsuhan Chen:
Image description with a goal: Building efficient discriminating expressions for images. CVPR 2012: 2791-2798 - [c2]Amir Sadovnik, Tsuhan Chen:
Hierarchical object groups for scene classification. ICIP 2012: 1881-1884 - 2011
- [c1]Amir Sadovnik, Tsuhan Chen:
Pictorial structures for object recognition and part labeling in drawings. ICIP 2011: 3613-3616
Coauthor Index
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