Atul Prakash

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 64

Top Venues

CoRR

USENIX Security Symposium

IEEE Secur. Priv.

ICLR

Publications

Jiachen Sun, Haizhong Zheng, Qingzhao Zhang, Atul Prakash, Zhuoqing Mao, Chaowei Xiao
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception. ICLR (2024)
Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails. CoRR (2024)
Haizhong Zheng, Xiaoyan Bai, Beidi Chen, Fan Lai, Atul Prakash
Learn To be Efficient: Build Structured Sparsity in Large Language Models. CoRR (2024)
Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails. ACL (1) (2024)
Shuowei Jin, Yongji Wu, Haizhong Zheng, Qingzhao Zhang, Matthew Lentz, Z. Morley Mao, Atul Prakash, Feng Qian, Danyang Zhuo
Adaptive Skeleton Graph Decoding. CoRR (2024)
Haizhong Zheng, Elisa Tsai, Yifu Lu, Jiachen Sun, Brian R. Bartoldson, Bhavya Kailkhura, Atul Prakash
ELFS: Enhancing Label-Free Coreset Selection via Clustering-based Pseudo-Labeling. CoRR (2024)
Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles. WACV (2024)
Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash
Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks. CCS (2023)
Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash
Investigating Stateful Defenses Against Black-Box Adversarial Examples. CoRR (2023)
Haizhong Zheng, Jiachen Sun, Shutong Wu, Bhavya Kailkhura, Zhuoqing Mao, Chaowei Xiao, Atul Prakash
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation. CoRR (2023)
Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks. CoRR (2023)
Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash
Coverage-centric Coreset Selection for High Pruning Rates. ICLR (2023)
Jiachen Sun, Haizhong Zheng, Qingzhao Zhang, Atul Prakash, Z. Morley Mao, Chaowei Xiao
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception. CoRR (2023)
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash
Concept-based Explanations for Out-of-Distribution Detectors. ICML (2023)
Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
Towards Adversarially Robust Deepfake Detection: An Ensemble Approach. CoRR (2022)
Renuka Kumar, Apurva Virkud, Ram Sundara Raman, Atul Prakash, Roya Ensafi
A Large-scale Investigation into Geodifferences in Mobile Apps. USENIX Security Symposium (2022)
Ryan Feng, Somesh Jha, Atul Prakash
Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing. CoRR (2022)
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash
Concept-based Explanations for Out-Of-Distribution Detectors. CoRR (2022)
Ryan Feng, Neal Mangaokar, Jiefeng Chen, Earlence Fernandes, Somesh Jha, Atul Prakash
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems. EuroS&P (2022)
Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash
Coverage-centric Coreset Selection for High Pruning Rates. CoRR (2022)
Neal Mangaokar, Atul Prakash
Dispelling Misconceptions and Characterizing the Failings of Deepfake Detection. IEEE Secur. Priv. 20 (2) (2022)
Szu-Yun Lin, Andrew W. Hlynka, Lichao Xu, Hao Lu, Omar A. Sediek, Sherif El-Tawil, Vineet R. Kamat, Jason McCormick, Carol C. Menassa, Seymour M. J. Spence, Atul Prakash, Benigno Aguirre
Simple Run-Time Infrastructure (SRTI): An accessible distributed computing platform for interdisciplinary simulation. J. Comput. Sci. 55 (2021)
Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation. CVPR (2021)
Nelson Manohar-Alers, Ryan Feng, Sahib Singh, Jiguo Song, Atul Prakash
Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples. CoRR (2021)
Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi
Protecting DNNs from Theft using an Ensemble of Diverse Models. ICLR (2021)
Sean Peisert, Bruce Schneier, Hamed Okhravi, Fabio Massacci, Terry Benzel, Carl E. Landwehr, Mohammad Mannan, Jelena Mirkovic, Atul Prakash, James Bret Michael
Perspectives on the SolarWinds Incident. IEEE Secur. Priv. 19 (2) (2021)
Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash
Efficient Adversarial Training With Transferable Adversarial Examples. CVPR (2020)
Renuka Kumar, Sreesh Kishore, Hao Lu, Atul Prakash
Security Analysis of Unified Payments Interface and Payment Apps in India. USENIX Security Symposium (2020)
Liang Tong, Minzhe Guo, Atul Prakash, Yevgeniy Vorobeychik
Towards Robustness against Unsuspicious Adversarial Examples. CoRR (2020)
Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation. CoRR (2020)
Ryan Feng, Jiefeng Chen, Nelson R. Manohar, Earlence Fernandes, Somesh Jha, Atul Prakash
Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification. CoRR (2020)
Ryan Feng, Wu-chi Feng, Atul Prakash
Essential Features: Reducing the Attack Surface of Adversarial Perturbations with Robust Content-Aware Image Preprocessing. CoRR (2020)
Haizhong Zheng, Ziqi Zhang, Honglak Lee, Atul Prakash
Understanding and Diagnosing Vulnerability under Adversarial Attacks. CoRR (2020)
Pratik Vaishnavi, Tianji Cong, Kevin Eykholt, Atul Prakash, Amir Rahmati
Can Attention Masks Improve Adversarial Robustness? CoRR (2019)
Davino Mauro Junior, Luis Melo, Hao Lu, Marcelo d'Amorim, Atul Prakash
A Study of Vulnerability Analysis of Popular Smart Devices Through Their Companion Apps. IEEE Symposium on Security and Privacy Workshops (2019)
Pratik Vaishnavi, Kevin Eykholt, Atul Prakash, Amir Rahmati
Transferable Adversarial Robustness using Adversarially Trained Autoencoders. CoRR (2019)
Haizhong Zheng, Earlence Fernandes, Atul Prakash
Analyzing the Interpretability Robustness of Self-Explaining Models. CoRR (2019)
Kevin Eykholt, Swati Gupta, Atul Prakash, Haizhong Zheng
Robust Classification using Robust Feature Augmentation. CoRR (2019)
Davino Mauro Junior, Luis Melo, Harvey Lu, Marcelo d'Amorim, Atul Prakash
Beware of the App! On the Vulnerability Surface of Smart Devices through their Companion Apps. CoRR (2019)
Brandon Carlson, Kevin Leach, Darko Marinov, Meiyappan Nagappan, Atul Prakash
Open Source Vulnerability Notification. OSS (2019)
Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash
Efficient Adversarial Training with Transferable Adversarial Examples. CoRR (2019)
Earlence Fernandes, Amir Rahmati, Jaeyeon Jung, Atul Prakash
Decentralized Action Integrity for Trigger-Action IoT Platforms. NDSS (2018)
Kevin Eykholt, Atul Prakash
Designing Adversarially Resilient Classifiers using Resilient Feature Engineering. CoRR (2018)
Davino Mauro Junior, Kiev Gama, Atul Prakash
Securing IoT Apps with Fine-grained Control of Information Flows. CoRR (2018)
Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Atul Prakash
Tyche: Risk-Based Permissions for Smart Home Platforms. CoRR (2018)
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramèr, Atul Prakash, Tadayoshi Kohno, Dawn Song
Physical Adversarial Examples for Object Detectors. CoRR (2018)
Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Atul Prakash
Tyche: A Risk-Based Permission Model for Smart Homes. SecDev (2018)
Dawn Song, Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramèr, Atul Prakash, Tadayoshi Kohno
Physical Adversarial Examples for Object Detectors. WOOT @ USENIX Security Symposium (2018)
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song
Robust Physical-World Attacks on Deep Learning Visual Classification. CVPR (2018)
Amir Rahmati, Earlence Fernandes, Jaeyeon Jung, Atul Prakash
IFTTT vs. Zapier: A Comparative Study of Trigger-Action Programming Frameworks. CoRR (2017)
Ivan Evtimov, Kevin Eykholt, Earlence Fernandes, Tadayoshi Kohno, Bo Li, Atul Prakash, Amir Rahmati, Dawn Song
Robust Physical-World Attacks on Machine Learning Models. CoRR (2017)
Earlence Fernandes, Amir Rahmati, Kevin Eykholt, Atul Prakash
Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges? CoRR (2017)
Earlence Fernandes, Amir Rahmati, Jaeyeon Jung, Atul Prakash
Security Implications of Permission Models in Smart-Home Application Frameworks. IEEE Secur. Priv. 15 (2) (2017)
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Dawn Song, Tadayoshi Kohno, Amir Rahmati, Atul Prakash, Florian Tramèr
Note on Attacking Object Detectors with Adversarial Stickers. CoRR (2017)
Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Xinheng Chen, Atul Prakash
Heimdall: A Privacy-Respecting Implicit Preference Collection Framework. MobiSys (2017)
Earlence Fernandes, Amir Rahmati, Jaeyeon Jung, Atul Prakash
Decoupled-IFTTT: Constraining Privilege in Trigger-Action Platforms for the Internet of Things. CoRR (2017)
Earlence Fernandes, Amir Rahmati, Kevin Eykholt, Atul Prakash
Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges? IEEE Secur. Priv. 15 (4) (2017)
Yunhan Jack Jia, Qi Alfred Chen, Shiqi Wang, Amir Rahmati, Earlence Fernandes, Zhuoqing Morley Mao, Atul Prakash
ContexloT: Towards Providing Contextual Integrity to Appified IoT Platforms. NDSS (2017)
Kevin Eykholt, Atul Prakash, Barzan Mozafari
Ensuring Authorized Updates in Multi-user Database-Backed Applications. USENIX Security Symposium (2017)
Earlence Fernandes, Justin Paupore, Amir Rahmati, Daniel Simionato, Mauro Conti, Atul Prakash
FlowFence: Practical Data Protection for Emerging IoT Application Frameworks. USENIX Security Symposium (2016)
Amir Rahmati, Earlence Fernandes, Atul Prakash
Applying the Opacified Computation Model to Enforce Information Flow Policies in IoT Applications. SecDev (2016)
Yilan Zhang, Sean M. O'connor, Gwendolyn W. van der Linden, Atul Prakash, Jerome P. Lynch
SenStore: A Scalable Cyberinfrastructure Platform for Implementation of Data-to-Decision Frameworks for Infrastructure Health Management. J. Comput. Civ. Eng. 30 (5) (2016)
Earlence Fernandes, Jaeyeon Jung, Atul Prakash
Security Analysis of Emerging Smart Home Applications. IEEE Symposium on Security and Privacy (2016)
Earlence Fernandes, Qi Alfred Chen, Justin Paupore, Georg Essl, J. Alex Halderman, Zhuoqing Morley Mao, Atul Prakash
Android UI Deception Revisited: Attacks and Defenses. Financial Cryptography (2016)
Justin Paupore, Earlence Fernandes, Atul Prakash, Sankardas Roy, Xinming Ou
Practical Always-on Taint Tracking on Mobile Devices. HotOS (2015)
Earlence Fernandes, Ajit Aluri, Alexander Crowell, Atul Prakash
Decomposable Trust for Android Applications. DSN (2015)
Manu Akula, Atul Sandur, Vineet R. Kamat, Atul Prakash
Context-Aware Framework for Highway Bridge Inspections. J. Comput. Civ. Eng. 29 (1) (2015)
Mauro Conti, Earlence Fernandes, Justin Paupore, Atul Prakash, Daniel Simionato
OASIS: Operational Access Sandboxes for Information Security. SPSM@CCS (2014)
Jiaan Zeng, Guangchen Ruan, Alexander Crowell, Atul Prakash, Beth Plale
Cloud computing data capsules for non-consumptiveuse of texts. ScienceCloud@HPDC (2014)
Biswajit Panja, David Morrison, Priyanka Meharia, Bharat Bharat, Atul Prakash
Group Security of V2Vusing Cloud Computing Processing and 4G Wireless Services. Int. J. Next Gener. Comput. 5 (3) (2014)
Earlence Fernandes, Alexander Crowell, Ajit Aluri, Atul Prakash
Anception: Application Virtualization For Android. CoRR (2014)
Beng Heng Ng, Atul Prakash
Expose: Discovering Potential Binary Code Re-use. COMPSAC (2013)
Alexander Crowell, Beng Heng Ng, Earlence Fernandes, Atul Prakash
The Confinement Problem: 40 Years Later. J. Inf. Process. Syst. 9 (2) (2013)
Beng Heng Ng, Atul Prakash
Let the Right One in: Discovering and Mitigating Permission Gaps. ICISS (2013)
Beng Heng Ng, Alexander Crowell, Atul Prakash
Adaptive semi-private email aliases. AsiaCCS (2012)
Biswajit Panja, Atul Prakash, Priyanka Meharia, Bradley Schneider
Security in sensor network based SCADA system for adaptive traffic signal operation. CTS (2012)
Heqing Huang, Su Zhang, Xinming Ou, Atul Prakash, Karem A. Sakallah
Distilling critical attack graph surface iteratively through minimum-cost SAT solving. ACSAC (2011)
Billy Lau, Atul Prakash, Venkatanathan Annamalai
Accessing Trusted Web Sites from Low-Integrity Systems without End-Host Snooping. SocialCom/PASSAT (2011)
Mark W. Newman, Mark S. Ackerman, Jungwoo Kim, Atul Prakash, Zhenan Hong, Jacob Mandel, Tao Dong
Bringing the field into the lab: supporting capture and replay of contextual data for the design of context-aware applications. UIST (2010)
Jordan Crain, Lukasz Opyrchal, Atul Prakash
Fighting Phishing with Trusted Email. ARES (2010)
Beng Heng Ng, Xin Hu, Atul Prakash
A Study on Latent Vulnerabilities. SRDS (2010)
Kevin Borders, Eric Vander Weele, Billy Lau, Atul Prakash
Protecting Confidential Data on Personal Computers with Storage Capsules. USENIX Security Symposium (2009)
Kevin Borders, Atul Prakash
Quantifying Information Leaks in Outbound Web Traffic. IEEE Symposium on Security and Privacy (2009)
Feng Qian, Zhiyun Qian, Zhuoqing Morley Mao, Atul Prakash
Ensemble: Community-Based Anomaly Detection for Popular Applications. SecureComm (2009)
Mark S. Ackerman, Tao Dong, Scott Gifford, Jungwoo Kim, Mark W. Newman, Atul Prakash, Sarah Qidwai, David García, Paulo Villegas, Alejandro Cadenas, Antonio Sánchez-Esguevillas, Javier M. Aguiar, Belén Carro, Sean Mailander, Ronald Schroeter, Marcus Foth, Amiya Bhattacharya, Partha Dasgupta
Location-Aware Computing, Virtual Networks. IEEE Pervasive Comput. 8 (4) (2009)
Xin Zhao, Kevin Borders, Atul Prakash
Prism: Providing Flexible and Fast Filesystem Cloning Service for Virtual Servers. Middleware (2008)
Kevin Borders, Atul Prakash
Towards Quantification of Network-Based Information Leaks via HTTP. HotSec (2008)
Garrett Brown, Travis Howe, Micheal Ihbe, Atul Prakash, Kevin Borders
Social networks and context-aware spam. CSCW (2008)
Laura Falk, Atul Prakash, Kevin Borders
Analyzing websites for user-visible security design flaws. SOUPS (2008)
Kevin Borders, Laura Falk, Atul Prakash
OpenFire: Using deception to reduce network attacks. SecureComm (2007)
Kevin Borders, Atul Prakash
Securing Network Input via a Trusted Input Proxy. HotSec (2007)
Kevin Borders, Atul Prakash, Mark Zielinski
Spector: Automatically Analyzing Shell Code. ACSAC (2007)
Xin Zhao, Kevin Borders, Atul Prakash
Using a virtual machine to protect sensitive Grid resources. Concurr. Comput. Pract. Exp. 19 (14) (2007)
Lukasz Opyrchal, Atul Prakash, Amit Agrawal
Supporting Privacy Policies in a Publish-Subscribe Substrate for Pervasive Environments. J. Networks 2 (1) (2007)
Atul Prakash
Security in Practice - Security-Usability Chasm. ICISS (2007)
Scott Gifford, Jim Knox, Jonathan James, Atul Prakash
Introduction to the talking points project. ASSETS (2006)
Kevin Borders, Xin Zhao, Atul Prakash
Securing sensitive content in a view-only file system. Digital Rights Management Workshop (2006)
Lukasz Opyrchal, Atul Prakash, Amit Agrawal
Designing a Publish-Subscribe Substrate for Privacy/Security in Pervasive Environments. ICPS (2006)
Kevin Borders, Xin Zhao, Atul Prakash
Siren: Catching Evasive Malware (Short Paper). IEEE Symposium on Security and Privacy (2006)
Patrick D. McDaniel, Atul Prakash
Methods and limitations of security policy reconciliation. ACM Trans. Inf. Syst. Secur. 9 (3) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Atul Prakash