Amir Sadovnik

39 papers A* 5A 1B 6C 5Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
FATHOMS-RAG: A Framework for the Assessment of Thinking and Observation in Multimodal Systems that use Retrieval Augmented Generation.
CoRR
Samuel Hildebrand, Curtis Taylor, Sean Oesch, James M. Ghawaly Jr., Amir Sadovnik, Ryan Shivers, Brandon Schreiber, Kevin Kurian
2025 A* conf
On the Abuse and Detection of Polyglot Files.
WWW
Luke Koch, Sean Oesch, Amir Sadovnik, Brian Weber, Amul Chaulagain, Matthew Dixson, Jared Dixon, Mike Huettel, Cory L. Watson, Jacob Hartman, Richard Patulski
2025 J jnl
Reliability, Resiliency, and Responsibility: A Framework for Addressing Security Concerns in Large Language Models.
SN Comput. Sci.
Linsey Passarella, Edmon Begoli, Colin Smith, Amir Sadovnik
2025 J jnl
The Black Tuesday Attack: how to crash the stock market with adversarial examples to financial forecasting models.
CoRR
Thomas Hofweber, Jefrey Bergl, Ian Reyes, Amir Sadovnik
2025 J jnl
The Path to Autonomous Cyberdefense.
IEEE Secur. Priv.
Sean Oesch, Phillipe Austria, Amul Chaulagain, Brian Weber, Cory L. Watson, Matthew Dixson, Amir Sadovnik
2024 J jnl
AI-generated Image Detection: Passive or Watermark?
CoRR
Moyang Guo, Yuepeng Hu, Zhengyuan Jiang, Zeyu Li, Amir Sadovnik, Arka Daw, Neil Gong
2024 J jnl
Advancing NLP Security by Leveraging LLMs as Adversarial Engines.
CoRR
Sudarshan Srinivasan, Maria Mahbub, Amir Sadovnik
2024 B conf
Assessing Membership Inference Attacks under Distribution Shifts.
IEEE Big Data
Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Amir Sadovnik
2024 — conf
ConFUSE: Confusion-based Federated Unlearning with Salience Exploration.
ISVLSI
Syed Irfan Ali Meerza, Amir Sadovnik, Jian Liu
2024 J jnl
Does it matter if empathic AI has no empathy?
Nat. Mac. Intell.
Garriy Shteynberg, Jodi Halpern, Amir Sadovnik, Jon Garthoff, Anat Perry, Jessica Hay, Carlos Montemayor, Michael A. Olson, Tim L. Hulsey, Abrol Fairweather
2024 J jnl
Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images.
CoRR
Arka Daw, Megan Hong-Thanh Chung, Maria Mahbub, Amir Sadovnik
2024 J jnl
On the Abuse and Detection of Polyglot Files.
CoRR
Luke Koch, Sean Oesch, Amul Chaulagain, Jared Dixon, Matthew Dixon, Mike Huettal, Amir Sadovnik, Cory L. Watson, Brian Weber, Jacob Hartman, Richard Patulski
2024 J jnl
Redefining "Hallucination" in LLMs: Towards a psychology-informed framework for mitigating misinformation.
CoRR
Elijah Berberette, Jack Hutchins, Amir Sadovnik
2024 — conf
Semantic Stealth: Crafting Covert Adversarial Patches for Sentiment Classifiers Using Large Language Models.
AISec@CCS
Camila Roa, Maria Mahbub, Sudarshan Srinivasan, Edmon Begoli, Amir Sadovnik
2024 J jnl
The Path To Autonomous Cyber Defense.
CoRR
Sean Oesch, Phillipe Austria, Amul Chaulagain, Brian Weber, Cory L. Watson, Matthew Dixson, Amir Sadovnik
2024 — conf
Towards a High Fidelity Training Environment for Autonomous Cyber Defense Agents.
CSET @ USENIX Security Symposium
Sean Oesch, Amul Chaulagain, Brian Weber, Matthew Dixson, Amir Sadovnik, Benjamin Roberson, Cory L. Watson, Phillipe Austria
2023 C conf
Object Detection in Pineapple Fields Drone Imagery Using Few Shot Learning and the Segment Anything Model.
ICMLA
Fabian Fallas-Moya, Saúl Calderón Ramírez, Amir Sadovnik, Hairong Qi
2022 J jnl
Heterogeneous Attention Nested U-Shaped Network for Blur Detection.
IEEE Signal Process. Lett.
Wenliang Guo, Xiao Xiao, Yilong Hui, Wenming Yang, Amir Sadovnik
2022 A conf
Monocular Depth Estimation with Adaptive Geometric Attention.
WACV
Taher Naderi, Amir Sadovnik, Jason P. Hayward, Hairong Qi
2021 J jnl
A Simulated Experiment to Explore Robotic Dialogue Strategies for People with Dementia.
CoRR
Fengpei Yuan, Amir Sadovnik, Ran Zhang, Devin Casenhiser, Eun Jin Paek, Si On Yoon, Xiaopeng Zhao
2021 J jnl
MSDU-Net: A Multi-Scale Dilated U-Net for Blur Detection.
Sensors
Xiao Xiao, Fan Yang, Amir Sadovnik
2021 C conf
Measuring the Impact of Memory Replay in Training Pacman Agents using Reinforcement Learning.
CLEI
Fabian Fallas-Moya, Jeremiah Duncan, Tabitha K. Samuel, Amir Sadovnik
2021 C conf
Size Does Matter: Overcoming Limitations during Training when using a Feature Pyramid Network.
ICMLA
Fabian Fallas-Moya, Manfred Gonzalez-Hernandez, Amir Sadovnik
2021 C conf
TopKConv: Increased Adversarial Robustness Through Deeper Interpretability.
ICMLA
Henry Eigen, Amir Sadovnik
2020 C conf
Reinforcement Learning for Elimination of Reentrant Spiral Waves in Excitable Media.
ACC
James K. Senter, Dan Wilson, Amir Sadovnik
2019 — conf
Unaligned Sequence Similarity Search Using Deep Learning.
BIBM
James K. Senter, Taylor M. Royalty, Andrew D. Steen, Amir Sadovnik
2019 J jnl
Unaligned Sequence Similarity Search Using Deep Learning.
CoRR
James K. Senter, Taylor M. Royalty, Andrew D. Steen, Amir Sadovnik
2018 — conf
Finding Your Lookalike: Measuring Face Similarity Rather Than Face Identity.
CVPR Workshops
Amir Sadovnik, Wassim Gharbi, Thanh Vu, Andrew C. Gallagher
2018 J jnl
Finding your Lookalike: Measuring Face Similarity Rather than Face Identity.
CoRR
Amir Sadovnik, Wassim Gharbi, Thanh Vu, Andrew C. Gallagher
2017 B conf
Image level color classification for colorblind assistance.
ICIP
Thomas L. Fuller, Amir Sadovnik
2016 B conf
Where do emotions come from? Predicting the Emotion Stimuli Map.
ICIP
Kuan-Chuan Peng, Amir Sadovnik, Andrew C. Gallagher, Tsuhan Chen
2015 A* conf
A mixed bag of emotions: Model, predict, and transfer emotion distributions.
CVPR
Kuan-Chuan Peng, Tsuhan Chen, Amir Sadovnik, Andrew C. Gallagher
2013 B conf
A visual dictionary attack on Picture Passwords.
ICIP
Amir Sadovnik, Tsuhan Chen
2013 A* conf
It's Not Polite to Point: Describing People with Uncertain Attributes.
CVPR
Amir Sadovnik, Andrew C. Gallagher, Tsuhan Chen
2013 — conf
Not Everybody's Special: Using Neighbors in Referring Expressions with Uncertain Attributes.
CVPR Workshops
Amir Sadovnik, Andrew C. Gallagher, Tsuhan Chen
2013 A* conf
Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing.
ICCV
Amir Sadovnik, Andrew C. Gallagher, Devi Parikh, Tsuhan Chen
2012 B conf
Hierarchical object groups for scene classification.
ICIP
Amir Sadovnik, Tsuhan Chen
2012 A* conf
Image description with a goal: Building efficient discriminating expressions for images.
CVPR
Amir Sadovnik, Yi-I Chiu, Noah Snavely, Shimon Edelman, Tsuhan Chen
2011 B conf
Pictorial structures for object recognition and part labeling in drawings.
ICIP
Amir Sadovnik, Tsuhan Chen