A. Houmansadr

发表

Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Federated Learning pdf

Peter Kairouz, Amir Houmansadr, Daniel Ramage, 2021, ArXiv.

MassBrowser : Unblocking the Web for the Masses , By the Masses

A. Houmansadr, Milad Nasr, 2018 .

I want my voice to be heard: IP over Voice-over-IP for unobservable censorship circumvention

Nikita Borisov, Andrew C. Singer, Amir Houmansadr, 2013, NDSS.

The Parrot Is Dead: Observing Unobservable Network Communications

Vitaly Shmatikov, Amir Houmansadr, Chad Brubaker, 2013, 2013 IEEE Symposium on Security and Privacy.

Know Your Achilles' Heel: Automatic Detection of Network Critical Services

Christopher Krügel, Giovanni Vigna, Richard A. Kemmerer, 2015, ACSAC.

Machine Learning with Membership Privacy via Knowledge Transfer

Virat Shejwalkar, A. Houmansadr, 2020 .

Belief-Space Planning for Automated Malware Defense

S. Zilberstein, A. Houmansadr, S. Witty, 2018 .

: Using Live Streaming to Evade Internet Censorship

A. Houmansadr, Vitaly Shmatikov, R. McPherson, 2016 .

Optimal Decoy Routing Through Game Theory

A. Houmansadr, Milad Nasr, 2016 .

The Cyberspace Battle for Information : Combating Internet Censorship

A. Houmansadr, McAdams Hall, 2014 .

Towards improving network flow watermarks using the repeat-accumulate codes

Nikita Borisov, Amir Houmansadr, A. Houmansadr, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Network Flow Watermarking

A. Houmansadr, W. Mazurczyk, S. Zander, 2016 .

: Tagging Network Flows using Blind Fingerprints

A. Houmansadr, F. Rezaei, 2017 .

Non-Blind Watermarking of Network Flows

Nikita Borisov, Amir Houmansadr, Negar Kiyavash, 2012, IEEE/ACM Transactions on Networking.

EliMet: Security metric elicitation in power grid critical infrastructures by observing system administrators' responsive behavior

Saman A. Zonouz, Amir Houmansadr, Parisa Haghani, 2012, IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012).

Sequence Obfuscation to Thwart Pattern Matching Attacks

Hossein Pishro-Nik, Amir Houmansadr, Bo Guan, 2020, 2020 IEEE International Symposium on Information Theory (ISIT).

Poster : Introducing MassBrowser : A Censorship Circumvention System Run by the Masses

A. Houmansadr, Milad Nasr, 2018 .

Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture pdf

Prateek Mittal, Liwei Song, Milad Nasr, 2021, USENIX Security Symposium.

Robust Content-Based Video Watermarking Exploiting Motion Entropy Masking Effect

Shahrokh Ghaemmaghami, Amir Houmansadr, Hamed Pirsiavash, 2018, SIGMAP.

Membership Privacy for Machine Learning Models Through Knowledge Transfer

Amir Houmansadr, Virat Shejwalkar, Virat Shejwalkar, 2021, AAAI.

Membership Inference Attacks Against NLP Classification Models

Huseyin A. Inan, Virat Shejwalkar, A. Houmansadr, 2021 .

Privacy of Dependent Users Against Statistical Matching

Dennis Goeckel, Hossein Pishro-Nik, Amir Houmansadr, 2018, IEEE Transactions on Information Theory.

Robustness Enhancement of Content-Based Watermarks Using Entropy Masking Effect

Shahrokh Ghaemmaghami, Amir Houmansadr, A. Houmansadr, 2005, IWDW.

Practical Traffic Analysis Attacks on Secure Messaging Applications pdf

Dennis Goeckel, Don Towsley, Amir Houmansadr, 2020, NDSS.

CacheBrowser: Bypassing Chinese Censorship without Proxies Using Cached Content

Amir Houmansadr, John Holowczak, Amir Houmansadr, 2015, CCS.

Covert communications on renewal packet channels

Donald F. Towsley, Dennis Goeckel, Amir Houmansadr, 2016, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Defining perfect location privacy using anonymization

Hossein Pishro-Nik, Amir Houmansadr, Zarrin Montazeri, 2016, 2016 Annual Conference on Information Science and Systems (CISS).

FSL: Federated Supermask Learning pdf

Amir Houmansadr, Virat Shejwalkar, Hamid Mozaffari, 2021, ArXiv.

Network Steganography Countermeasures

Sebastian Zander, Wojciech Mazurczyk, Steffen Wendzel, 2016 .

Stegobot: A Covert Social Network Botnet

Nikita Borisov, Pragya Agarwal, Amir Houmansadr, 2011, Information Hiding.

A Collusion-Resistant Video Watermarking Scheme

Shahrokh Ghaemmaghami, Amir Houmansadr, A. Houmansadr, 2006, Information Hiding.

A Digital Image Watermarking Scheme Based on Visual Cryptography

Shahrokh Ghaemmaghami, Amir Houmansadr, A. Houmansadr, 2005 .

GAME OF DECOYS: Optimal Decoy Routing Through Game Theory

Milad Nasr, Amir Houmansadr, A. Houmansadr, 2016, CCS.

Design, analysis, and implementation of effective network flow watermarking schemes

Amir Houmansadr, A. Houmansadr, 2012 .

E2FL: Equal and Equitable Federated Learning

A. Houmansadr, Hamid Mozaffari, 2022, ArXiv.

Machine Learning with Differentially Private Labels: Mechanisms and Frameworks

Amir Houmansadr, Virat Shejwalkar, A. Houmansadr, 2022, Proc. Priv. Enhancing Technol..

E2FL: Equal and Equitable Federated Learning

A. Houmansadr, Hamid Mozaffari, 2022, ArXiv.

The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning

Virat Shejwalkar, A. Houmansadr, L. Lyu, 2022, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

I Still Know What You Did Last Summer: Inferring Sensitive User Activities on Messaging Applications Through Traffic Analysis

A. Houmansadr, D. Goeckel, Alireza Bahramali, 2022, IEEE Transactions on Dependable and Secure Computing.

Superstring-Based Sequence Obfuscation to Thwart Pattern Matching Attacks pdf

Dennis Goeckel, Hossein Pishro-Nik, Amir Houmansadr, 2021, IEEE Internet of Things Journal.

Blocking-Resilient Communications in Information-Centric Networks Using Router Redirection

Arun Venkataramani, Hamid Mozaffari, Amir Houmansadr, 2019, 2019 IEEE Globecom Workshops (GC Wkshps).

No Direction Home: The True Cost of Routing Around Decoys

Vitaly Shmatikov, Edmund L. Wong, Amir Houmansadr, 2014, NDSS.

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

Amir Houmansadr, Reza Shokri, Milad Nasr, 2018, 2019 IEEE Symposium on Security and Privacy (SP).

Multi-Flow Attacks Against Network Flow Watermarks: Analysis and Countermeasures pdf

Nikita Borisov, Amir Houmansadr, Negar Kiyavash, 2012, ArXiv.

Traffic Type Obfuscation

Sebastian Zander, Wojciech Mazurczyk, Steffen Wendzel, 2016 .

Nexat: a history-based approach to predict attacker actions

Christopher Krügel, Giovanni Vigna, Amir Houmansadr, 2011, ACSAC '11.

Triplet Censors: Demystifying Great Firewall's DNS Censorship Behavior

Amir Houmansadr, Phillipa Gill, Nguyen Phong Hoang, 2020, FOCI @ USENIX Security Symposium.

Fundamental Limits of Covert Packet Insertion

Donald F. Towsley, Dennis Goeckel, Amir Houmansadr, 2019, IEEE Transactions on Communications.

On the Risks of Stealing the Decoding Algorithms of Language Models

Mohit Iyyer, Kalpesh Krishna, A. Houmansadr, 2023, ArXiv.

Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks pdf

Reza Shokri, Milad Nasr, Amir Houmansadr, 2018, ArXiv.

Privacy Against Statistical Matching: Inter-User Correlation

Dennis Goeckel, Hossein Pishro-Nik, Amir Houmansadr, 2018, 2018 IEEE International Symposium on Information Theory (ISIT).

Heterogeneous Private Information Retrieval

Hamid Mozaffari, Amir Houmansadr, A. Houmansadr, 2020, NDSS.

A cloud-based intrusion detection and response system for mobile phones

Saman A. Zonouz, Robin Berthier, Amir Houmansadr, 2011, 2011 IEEE/IFIP 41st International Conference on Dependable Systems and Networks Workshops (DSN-W).

Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning

Amir Houmansadr, Virat Shejwalkar, Amir Houmansadr, 2021, NDSS.

Machine Learning with Membership Privacy using Adversarial Regularization

Reza Shokri, Milad Nasr, Amir Houmansadr, 2018, CCS.

Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning

Peter Kairouz, Amir Houmansadr, Daniel Ramage, 2021, 2022 IEEE Symposium on Security and Privacy (SP).

Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer pdf

Amir Houmansadr, Reza Shokri, Virat Shejwalkar, 2019, ArXiv.

Defeating DNN-Based Traffic Analysis Systems in Real-Time With Blind Adversarial Perturbations

Milad Nasr, Amir Houmansadr, Alireza Bahramali, 2021, USENIX Security Symposium.

Towards provably invisible network flow fingerprints

Donald F. Towsley, Dennis Goeckel, Amir Houmansadr, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

CoCo: Coding-Based Covert Timing Channels for Network Flows

Nikita Borisov, Amir Houmansadr, A. Houmansadr, 2011, Information Hiding.

DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning

Milad Nasr, Amir Houmansadr, Alireza Bahramali, 2018, CCS.

Main-Memory Requirements of Big Data Applications on Commodity Server Platform

Houman Homayoun, Hosein Mohammadi Makrani, Setareh Rafatirad, 2018, 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems

Dennis Goeckel, Don Towsley, Milad Nasr, 2021, CCS.

MassBrowser: Unblocking the Censored Web for the Masses, by the Masses

Milad Nasr, Amir Houmansadr, Hadi Zolfaghari, 2020, NDSS.

FINN: Fingerprinting Network Flows using Neural Networks

Amir Houmansadr, Fatemeh Rezaei, A. Houmansadr, 2021, ACSAC.

CensorSpoofer: asymmetric communication using IP spoofing for censorship-resistant web browsing

Xun Gong, Nikita Borisov, Amir Houmansadr, 2012, CCS.

BotMosaic: Collaborative network watermark for the detection of IRC-based botnets

Nikita Borisov, Amir Houmansadr, A. Houmansadr, 2013, J. Syst. Softw..

RAINBOW: A Robust And Invisible Non-Blind Watermark for Network Flows

Nikita Borisov, Amir Houmansadr, Negar Kiyavash, 2009, NDSS.

Secloud: A cloud-based comprehensive and lightweight security solution for smartphones

William H. Sanders, Nikita Borisov, Saman A. Zonouz, 2013, Comput. Secur..

On the Risks of Stealing the Decoding Algorithms of Language Models

Mohit Iyyer, Kalpesh Krishna, A. Houmansadr, 2023, ArXiv.

Security Analysis of SplitFed Learning

Virat Shejwalkar, A. Houmansadr, F. Anwar, 2022, SenSys.

Reconciling Utility and Membership Privacy via Knowledge Distillation pdf

Amir Houmansadr, Virat Shejwalkar, Virat Shejwalkar, 2019, ArXiv.

SWEET: Serving the Web by Exploiting Email Tunnels

Nikita Borisov, Amir Houmansadr, Matthew Caesar, 2012, IEEE/ACM Transactions on Networking.

Cirripede: circumvention infrastructure using router redirection with plausible deniability

Nikita Borisov, Amir Houmansadr, Matthew Caesar, 2011, CCS '11.

Equity and Equality in Fair Federated Learning

A. Houmansadr, Hamid Mozaffari, 2022 .

Compressive Traffic Analysis: A New Paradigm for Scalable Traffic Analysis

Arya Mazumdar, Milad Nasr, Amir Houmansadr, 2017, CCS.

Achieving Perfect Location Privacy in Wireless Devices Using Anonymization

Hossein Pishro-Nik, Amir Houmansadr, Zarrin Montazeri, 2016, IEEE Transactions on Information Forensics and Security.

Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising pdf

Reza Shokri, Milad Nasr, Amir houmansadr, 2020, ArXiv.

Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning

Houman Homayoun, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad, 2018, CF.

CovertCast: Using Live Streaming to Evade Internet Censorship

Vitaly Shmatikov, Richard McPherson, Amir Houmansadr, 2016, Proc. Priv. Enhancing Technol..

Graphene: A New Protocol for Block Propagation Using Set Reconciliation

Gavin Andresen, Brian Neil Levine, Amir Houmansadr, 2017, DPM/CBT@ESORICS.

On the channel capacity of network flow watermarking

Nikita Borisov, Amir Houmansadr, Negar Kiyavash, 2009 .

An Analysis of Attacks on Blockchain Consensus pdf

Gavin Andresen, Brian Neil Levine, Amir Houmansadr, 2016, ArXiv.

Every Vote Counts: Ranking-Based Training of Federated Learning to Resist Poisoning Attacks

Virat Shejwalkar, A. Houmansadr, Hamid Mozaffari, 2023, USENIX Security Symposium.

On the Pitfalls of Security Evaluation of Robust Federated Learning

Amir Houmansadr, Virat Shejwalkar, A. Houmansadr, 2023, 2023 IEEE Security and Privacy Workshops (SPW).

FRL: Federated Rank Learning

Virat Shejwalkar, A. Houmansadr, Hamid Mozaffari, 2021, 2110.04350.

Effectively Using Public Data in Privacy Preserving Machine Learning

Amir Houmansadr, Prateek Mittal, A. Houmansadr, 2023, ICML.

The Waterfall of Liberty: Decoy Routing Circumvention that Resists Routing Attacks

Milad Nasr, Amir Houmansadr, Hadi Zolfaghari, 2017, CCS.

Practical Censorship Evasion Leveraging Content Delivery Networks

Amir Houmansadr, Hadi Zolfaghari, A. Houmansadr, 2016, CCS.

Enemy At the Gateways: Censorship-Resilient Proxy Distribution Using Game Theory

Jens Grossklags, Milad Nasr, Amir Houmansadr, 2019, NDSS.

Multi-flow Attacks Against Network Flow Watermarking Schemes

Nikita Borisov, Amir Houmansadr, Negar Kiyavash, 2008, USENIX Security Symposium.

SWIRL: A Scalable Watermark to Detect Correlated Network Flows

Nikita Borisov, Amir Houmansadr, Amir Houmansadr, 2011, NDSS.

CensorSpoofer: asymmetric communication using IP spoofing for censorship-resistant web browsing

A. Houmansadr, N. Borisov, Qiyan Wang, 2012, CCS.

Fundamental Limits of Covert Bit Insertion in Packets

Donald F. Towsley, Dennis Goeckel, Amir Houmansadr, 2018, 2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Stegobot: construction of an unobservable communication network leveraging social behavior

A. Houmansadr, N. Borisov, Shishir Nagaraja, 2011, ArXiv.

Stegobot: building unobservable communication networks using social network behavior pdf

Nikita Borisov, Pragya Agarwal, Amir Houmansadr, 2011 .

Matching Anonymized and Obfuscated Time Series to Users’ Profiles

Hossein Pishro-Nik, Amir Houmansadr, Dennis L. Goeckel, 2017, IEEE Transactions on Information Theory.

Asymptotic Loss in Privacy due to Dependency in Gaussian Traces

Dennis Goeckel, Amir Houmansadr, Hossein Pishro-Nik, 2018, 2019 IEEE Wireless Communications and Networking Conference (WCNC).

Limits of location privacy under anonymization and obfuscation

Dennis Goeckel, Hossein Pishro-Nik, Amir Houmansadr, 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

Fundamental limits of location privacy using anonymization

Dennis Goeckel, Hossein Pishro-Nik, Amir Houmansadr, 2017, 2017 51st Annual Conference on Information Sciences and Systems (CISS).

Achieving perfect location privacy in Markov models using anonymization

Hossein Pishro-Nik, Amir Houmansadr, Zarrin Montazeri, 2016, 2016 International Symposium on Information Theory and Its Applications (ISITA).

Achieving Perfect Location Privacy in Wireless Devices Using Anonymization

A. Houmansadr, H. Pishro-Nik, Zarrin Montazeri, 2020 .