Amir Houmansadr

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 113

Top Venues

CoRR

CCS

NDSS

USENIX Security Symposium

Publications

Diwen Xue, Michalis Kallitsis, Amir Houmansadr, Roya Ensafi
Fingerprinting Obfuscated Proxy Traffic with Encapsulated TLS Handshakes. USENIX Security Symposium (2024)
Hamid Mozaffari, Sunav Choudhary, Amir Houmansadr
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning. CoRR (2024)
Hyejun Jeong, Shiqing Ma, Amir Houmansadr
SoK: Challenges and Opportunities in Federated Unlearning. CoRR (2024)
Sajjad Amini, Mohammadreza Teymoorianfard, Shiqing Ma, Amir Houmansadr
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification. CoRR (2024)
Ali Naseh, Jaechul Roh, Eugene Bagdasaryan, Amir Houmansadr
Injecting Bias in Text-To-Image Models via Composite-Trigger Backdoors. CoRR (2024)
Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer
PostMark: A Robust Blackbox Watermark for Large Language Models. CoRR (2024)
Dzung Pham, Jade Sheffey, Chau Minh Pham, Amir Houmansadr
ProxyGPT: Enabling Anonymous Queries in AI Chatbots with (Un)Trustworthy Browser Proxies. CoRR (2024)
Bo Guan, Shuangqing Wei, Amir Houmansadr, Hossein Pishro-Nik, Dennis Goeckel
Optimal Obfuscation to Protect Client Privacy in Federated Learning. CISS (2024)
Ali Naseh, Katherine Thai, Mohit Iyyer, Amir Houmansadr
Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images. CoRR (2024)
Katherine Avery, Amir Houmansadr, David D. Jensen
The Effect of Alter Ego Accounts on A/B Tests in Social Networks. WWW (Companion Volume) (2024)
Yuefeng Peng, Jaechul Roh, Subhransu Maji, Amir Houmansadr
OSLO: One-Shot Label-Only Membership Inference Attacks. CoRR (2024)
Alireza Bahramali, Ardavan Bozorgi, Amir Houmansadr
Realistic Website Fingerprinting By Augmenting Network Trace. CoRR (2023)
Ali Naseh, Jaechul Roh, Amir Houmansadr
Understanding (Un)Intended Memorization in Text-to-Image Generative Models. CoRR (2023)
Ali Zohaib, Jade Sheffey, Amir Houmansadr
Investigating Traffic Analysis Attacks on Apple iCloud Private Relay. AsiaCCS (2023)
Milad Nasr, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr
Effectively Using Public Data in Privacy Preserving Machine Learning. ICML (2023)
Ali Naseh, Kalpesh Krishna, Mohit Iyyer, Amir Houmansadr
On the Risks of Stealing the Decoding Algorithms of Language Models. CoRR (2023)
Hamid Mozaffari, Virat Shejwalkar, Amir Houmansadr
Every Vote Counts: Ranking-Based Training of Federated Learning to Resist Poisoning Attacks. USENIX Security Symposium (2023)
Dzung Pham, Shreyas Kulkarni, Amir Houmansadr
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Active Data Manipulation. CoRR (2023)
Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning. ICCV (2023)
Ali Naseh, Jaechul Roh, Amir Houmansadr
Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication. CoRR (2023)
Saeede Enayati, Dennis Goeckel, Amir Houmansadr, Hossein Pishro-Nik
Location Privacy Protection for UAVs in Package Delivery and IoT Data Collection. IEEE Internet Things J. 10 (23) (2023)
Yuefeng Peng, Ali Naseh, Amir Houmansadr
Diffence: Fencing Membership Privacy With Diffusion Models. CoRR (2023)
Alireza Bahramali, Ardavan Bozorgi, Amir Houmansadr
Realistic Website Fingerprinting By Augmenting Network Traces. CCS (2023)
Ali Naseh, Kalpesh Krishna, Mohit Iyyer, Amir Houmansadr
Stealing the Decoding Algorithms of Language Models. CCS (2023)
Ardavan Bozorgi, Alireza Bahramali, Fatemeh Rezaei, Amirhossein Ghafari, Amir Houmansadr, Ramin Soltani, Dennis Goeckel, Don Towsley
I Still Know What You Did Last Summer: Inferring Sensitive User Activities on Messaging Applications Through Traffic Analysis. IEEE Trans. Dependable Secur. Comput. 20 (5) (2023)
Momin Ahmad Khan, Virat Shejwalkar, Amir Houmansadr, Fatima M. Anwar
On the Pitfalls of Security Evaluation of Robust Federated Learning. SP Workshops (2023)
Mingshi Wu, Jackson Sippe, Danesh Sivakumar, Jack Burg, Peter Anderson, Xiaokang Wang, Kevin Bock, Amir Houmansadr, Dave Levin, Eric Wustrow
How the Great Firewall of China Detects and Blocks Fully Encrypted Traffic. USENIX Security Symposium (2023)
Saeede Enayati, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik
Privacy-Preserving Path-Planning for UAVs. ISNCC (2022)
Xinyu Tang, Milad Nasr, Saeed Mahloujifar, Virat Shejwalkar, Liwei Song, Amir Houmansadr, Prateek Mittal
Machine Learning with Differentially Private Labels: Mechanisms and Frameworks. Proc. Priv. Enhancing Technol. 2022 (4) (2022)
Hamid Mozaffari, Amir Houmansadr
E2FL: Equal and Equitable Federated Learning. CoRR (2022)
Saeede Enayati, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik
Constrained Obfuscation to Thwart Pattern Matching Attacks. ISIT (2022)
Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning. CoRR (2022)
Steffen Wendzel, Wojciech Mazurczyk, Luca Caviglione, Amir Houmansadr
Emerging topics in defending networked systems. Future Gener. Comput. Syst. 128 (2022)
Bo Guan, Nazanin Takbiri, Dennis Goeckel, Amir Houmansadr, Hossein Pishro-Nik
Superstring-Based Sequence Obfuscation to Thwart Pattern Matching Attacks. IEEE Internet Things J. 9 (23) (2022)
Xinyu Tang, Saeed Mahloujifar, Liwei Song, Virat Shejwalkar, Milad Nasr, Amir Houmansadr, Prateek Mittal
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture. USENIX Security Symposium (2022)
Virat Shejwalkar, Amir Houmansadr, Peter Kairouz, Daniel Ramage
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning. IEEE Symposium on Security and Privacy (2022)
Momin Ahmad Khan, Virat Shejwalkar, Amir Houmansadr, Fatima M. Anwar
Security Analysis of SplitFed Learning. SenSys (2022)
Momin Ahmad Khan, Virat Shejwalkar, Amir Houmansadr, Fatima Muhammad Anwar
Security Analysis of SplitFed Learning. CoRR (2022)
Fatemeh Rezaei, Amir Houmansadr
FINN: Fingerprinting Network Flows using Neural Networks. ACSAC (2021)
Bo Guan, Nazanin Takbiri, Dennis Goeckel, Amir Houmansadr, Hossein Pishro-Nik
Superstring-Based Sequence Obfuscation to Thwart Pattern Matching Attacks. CoRR (2021)
Virat Shejwalkar, Amir Houmansadr
Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning. NDSS (2021)
Milad Nasr, Alireza Bahramali, Amir Houmansadr
Defeating DNN-Based Traffic Analysis Systems in Real-Time With Blind Adversarial Perturbations. USENIX Security Symposium (2021)
Virat Shejwalkar, Amir Houmansadr
Membership Privacy for Machine Learning Models Through Knowledge Transfer. AAAI (2021)
Alireza Bahramali, Milad Nasr, Amir Houmansadr, Dennis Goeckel, Don Towsley
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems. CCS (2021)
Nazanin Takbiri, Minting Chen, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik
Asymptotic Privacy Loss Due to Time Series Matching of Dependent Users. IEEE Commun. Lett. 25 (4) (2021)
Virat Shejwalkar, Amir Houmansadr, Peter Kairouz, Daniel Ramage
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Federated Learning. CoRR (2021)
Alireza Bahramali, Milad Nasr, Amir Houmansadr, Dennis Goeckel, Don Towsley
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems. CoRR (2021)
Hamid Mozaffari, Virat Shejwalkar, Amir Houmansadr
FSL: Federated Supermask Learning. CoRR (2021)
Xinyu Tang, Saeed Mahloujifar, Liwei Song, Virat Shejwalkar, Milad Nasr, Amir Houmansadr, Prateek Mittal
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture. CoRR (2021)
Milad Nasr, Reza Shokri, Amir Houmansadr
Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising. CoRR (2020)
Milad Nasr, Alireza Bahramali, Amir Houmansadr
Blind Adversarial Network Perturbations. CoRR (2020)
Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr
Fundamental Limits of Invisible Flow Fingerprinting. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr
Fundamental Limits of Covert Packet Insertion. IEEE Trans. Commun. 68 (6) (2020)
Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik
Privacy of Dependent Users Against Statistical Matching. IEEE Trans. Inf. Theory 66 (9) (2020)
Nazanin Takbiri, Virat Shejwalkar, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik
Leveraging Prior Knowledge Asymmetries in the Design of Location Privacy-Preserving Mechanisms. IEEE Wirel. Commun. Lett. 9 (11) (2020)
Alireza Bahramali, Amir Houmansadr, Ramin Soltani, Dennis Goeckel, Don Towsley
Practical Traffic Analysis Attacks on Secure Messaging Applications. NDSS (2020)
anonymous, Arian Akhavan Niaki, Nguyen Phong Hoang, Phillipa Gill, Amir Houmansadr
Triplet Censors: Demystifying Great Firewall's DNS Censorship Behavior. FOCI @ USENIX Security Symposium (2020)
Alice, Bob, Carol, Jan Beznazwy, Amir Houmansadr
How China Detects and Blocks Shadowsocks. Internet Measurement Conference (2020)
Nazanin Takbiri, Minting Chen, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik
Asymptotic Privacy Loss due to Time Series Matching of Dependent Users. CoRR (2020)
Alireza Bahramali, Ramin Soltani, Amir Houmansadr, Dennis Goeckel, Don Towsley
Practical Traffic Analysis Attacks on Secure Messaging Applications. CoRR (2020)
Hamid Mozaffari, Amir Houmansadr
Heterogeneous Private Information Retrieval. NDSS (2020)
Milad Nasr, Hadi Zolfaghari, Amir Houmansadr, Amirhossein Ghafari
MassBrowser: Unblocking the Censored Web for the Masses, by the Masses. NDSS (2020)
Bo Guan, Nazanin Takbiri, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik
Sequence Obfuscation to Thwart Pattern Matching Attacks. ISIT (2020)
Fatemeh Rezaei, Shahrzad Naseri, Ittay Eyal, Amir Houmansadr
The Bitcoin Hunter: Detecting Bitcoin Traffic over Encrypted Channels. SecureComm (1) (2020)
Milad Nasr, Reza Shokri, Amir Houmansadr
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning. IEEE Symposium on Security and Privacy (2019)
Nazanin Takbiri, Virat Shejwalkar, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik
Leveraging Prior Knowledge Asymmetries in the Design of Location Privacy-Preserving Mechanisms. CoRR (2019)
Hamid Mozaffari, Amir Houmansadr, Arun Venkataramani
Blocking-Resilient Communications in Information-Centric Networks Using Router Redirection. GLOBECOM Workshops (2019)
Nazanin Takbiri, Ramin Soltani, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik
Asymptotic Loss in Privacy due to Dependency in Gaussian Traces. WCNC (2019)
Zimo Chai, Amirhossein Ghafari, Amir Houmansadr
On the Importance of Encrypted-SNI (ESNI) to Censorship Circumvention. FOCI @ USENIX Security Symposium (2019)
Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr
Fundamental Limits of Covert Packet Insertion. CoRR (2019)
Hongyan Chang, Virat Shejwalkar, Reza Shokri, Amir Houmansadr
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer. CoRR (2019)
Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik
Matching Anonymized and Obfuscated Time Series to Users' Profiles. IEEE Trans. Inf. Theory 65 (2) (2019)
Milad Nasr, Sadegh Farhang, Amir Houmansadr, Jens Grossklags
Enemy At the Gateways: Censorship-Resilient Proxy Distribution Using Game Theory. NDSS (2019)
Virat Shejwalkar, Amir Houmansadr, Hossein Pishro-Nik, Dennis Goeckel
Revisiting utility metrics for location privacy-preserving mechanisms. ACSAC (2019)
Virat Shejwalkar, Amir Houmansadr
Reconciling Utility and Membership Privacy via Knowledge Distillation. CoRR (2019)
Nazanin Takbiri, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik
Asymptotic Limits of Privacy in Bayesian Time Series Matching. CISS (2019)
Nazanin Takbiri, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik
Asymptotic Limits of Privacy in Bayesian Time Series Matching. CoRR (2019)
Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik
Privacy of Dependent Users Against Statistical Matching. CoRR (2018)
Milad Nasr, Alireza Bahramali, Amir Houmansadr
DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning. CoRR (2018)
Hossein Sayadi, Sai Manoj P. D., Amir Houmansadr, Setareh Rafatirad, Houman Homayoun
Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning. CF (2018)
Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr
Fundamental Limits of Invisible Flow Fingerprinting. CoRR (2018)
Milad Nasr, Reza Shokri, Amir Houmansadr
Machine Learning with Membership Privacy using Adversarial Regularization. CCS (2018)
Milad Nasr, Reza Shokri, Amir Houmansadr
Machine Learning with Membership Privacy using Adversarial Regularization. CoRR (2018)
Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik
Privacy Against Statistical Matching: Inter-User Correlation. ISIT (2018)
Milad Nasr, Alireza Bahramali, Amir Houmansadr
DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning. CCS (2018)
Nazanin Takbiri, Ramin Soltani, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik
Asymptotic Loss in Privacy due to Dependency in Gaussian Traces. CoRR (2018)
Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr
Fundamental Limits of Covert Bit Insertion in Packets. CoRR (2018)
Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik
Privacy against Statistical Matching: Inter-User Correlation. CoRR (2018)
Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr
Fundamental Limits of Covert Bit Insertion in Packets. Allerton (2018)
Milad Nasr, Reza Shokri, Amir Houmansadr
Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks. CoRR (2018)
Hosein Mohammadi Makrani, Setareh Rafatirad, Amir Houmansadr, Houman Homayoun
Main-Memory Requirements of Big Data Applications on Commodity Server Platform. CCGrid (2018)
Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr
Towards provably invisible network flow fingerprints. ACSSC (2017)
Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik
Fundamental limits of location privacy using anonymization. CISS (2017)
Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr
Towards Provably Invisible Network Flow Fingerprints. CoRR (2017)
A. Pinar Ozisik, Gavin Andresen, George Bissias, Amir Houmansadr, Brian Neil Levine
Graphene: A New Protocol for Block Propagation Using Set Reconciliation. DPM/CBT@ESORICS (2017)
Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik
Limits of location privacy under anonymization and obfuscation. ISIT (2017)
Milad Nasr, Amir Houmansadr, Arya Mazumdar
Compressive Traffic Analysis: A New Paradigm for Scalable Traffic Analysis. CCS (2017)
Fatemeh Rezaei, Amir Houmansadr
TagIt: Tagging Network Flows using Blind Fingerprints. Proc. Priv. Enhancing Technol. 2017 (4) (2017)
Amir Houmansadr, Wenxuan Zhou, Matthew Caesar, Nikita Borisov
SWEET: Serving the Web by Exploiting Email Tunnels. IEEE/ACM Trans. Netw. 25 (3) (2017)
Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik
Matching Anonymized and Obfuscated Time Series to Users' Profiles. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Amir Houmansadr