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About Me
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Ben Nassi

Faculty member, ECE, Tel Aviv University

Electrical Engineering, 145, Tel Aviv University (Maps)

Tel Aviv, Israel 

Whoami. I am a Black Hat board member (Asia & Europe) and a faculty member at the School of Electrical and Computer Engineering at Tel Aviv University, where I lead the AdMin (Adversarial Minds) research group. Before I was a research fellow at the Faculty of Electrical and Computer Engineering at the Technion, did a postdoc at Cornell Tech (hosted by Tom Ristenpart), and a PhD at Ben-Gurion University of the Negev (supervised by Yuval Elovici).​

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Research Interests. Today, I primarily research the security and privacy of LLM-powered Applications (AI security). Before, I researched various topics, including the security and privacy of drones and Teslas, side-channel attacks for cryptanalysis, side-channel attacks for speech eavesdropping, and the security of object detectors.​

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I am currently looking for excellent PhD and MSc students with an interest in AI and security to join my group at Tel-Aviv University. If you have the desire to lead the field of AI Security and work on high-profile/impact research in security and privacy, send me an email. 

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Publications & Press. My papers were published at top academic security conferences, including S&P (6), CCS(4), USENIX Security (1), and top industrial security conferences, including BlackHat (7), DEFCON (4),
and RSAC (2). My work has been frequently featured in Wired 
[1,2,3,4,5] Forbes [1,2,3], ArsTechnica, [1,2,3,4], The Wall Street Journal [1], DeepLearning.AI [1], MIT Technology Review [1], Fox News [1,2], The Mirror [1], Business Insider [1], Schneier on Security [1,2,3,4,5,6], Computerphile [1], and Two Minute Paper [1]. One of my papers received the 2023 Pwnie Award for the Best Crypto Attack.

AdMin (Adversarial Minds) Research Group 

Group

Elad Feldman (PhD)

Itamar Assaf (MSc)

Aya Spira (MSc, with Avishai Wool)

Academic Publications

Publications

2025

Invitation is All You Need! 

BHUSA'25, DEFCON33, SecTor'25, CodeBlue'25                            

Ben Nassi, Stav Cohen, Or Yair

[web-page] [pre-print]

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2024

A Jailbroken GenAI Model Can Cause Substantial Harm: GenAI-powered
Applications are Vulnerable to PromptWares
                             

Stav Cohen, Ron Bitton, Ben Nassi

[web-page]

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Video-Based Cryptanalysis: Extracting Cryptographic Keys from Video Footage of a Device's Power LED

SP'24, BHUSA'23, DEFCON-31, SecTor'23, RWC'24                               

Ben Nassi, Etay Iluz, Or Cohen, Ofek Vayner, Dudi Nassi, Boris Zadov, Yuval Elovici

Pwnie Award for the Best Cryptographic Attack 23

Tim Höttges Award in Cybersecurity Research

[web-page] [pre-print] [conference-version]

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Private Hierarchical Governance for Encrypted Messaging
SP'24

Armin Namavari, Barry Wang, Sanketh Menda, Ben Nassi, Nirvan Tyagi, James Grimmelmann, Amy Zhang, Thomas Ristenpart

Injection Attacks Against End-to-End Encrypted Applications

SP'24

A Fábrega, CO Pérez, A Namavari, B Nassi, R Agarwal, T Ristenpart

[conference-version]

2023

Optical Cryptanalysis: Recovering Cryptographic Keys from Power LED Light Fluctuations

CCS'23

Ben Nassi, Ofek Vayner, Etay Iluz, Dudi Nassi, Jan Jancar, Daniel Genkin, Eran Tromer, Boris Zadov, Yuval Elovici

Tim Höttges Award in Cybersecurity Research

[pre-print] [conference-version]

Protecting Autonomous Cars from Phantom Attacks

Communications of the ACM

Ben Nassi, Yisroel Mirsky, Jacob Shams, Raz Ben-Netanel, Dudi Nassi, Yuval Elovici

[web-page] [magazine]

The Adversarial Implications of Variable-Time Inference

AISEC'23

Dudi Biton, Aditi Misra, Efrat Levy, Jaidip Kotak, Ron Bitton, Roei Schuster, Nicolas Papernot, Yuval Elovici, Ben Nassi

[pre-print] [PDF]

The Little Seal Bug: Optical Sound Recovery from Lightweight Reflective Objects

WOOT'23, BlackHat Asia'22                                                                                            

Ben Nassi, Raz Swissa, Jacob Shams, Boris Zadov, Yuval Elovici

[web-page] [pre-print] [conference-version]

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2022

Lamphone - Real-Time Passive Sound Recovery from Light Bulb Vibrations

USENIX Sec'22BlackHat USA 2020, SecTor'20, CodeBlue'20

Ben Nassi, Yaron Pirotin, Adi Shamir, Yuval Elovici, Boris Zadov

CSAW'19 Runner Up

Runner up Pwnie Award for Most Innovative Research

Runner up Pwnie Award for Most Epic Achievement 
[web-page] [pre-print] [conference-version] 

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bAdvertisement: Attacking Advanced Driver-Assistance Systems Using Print Advertisements

EuroS&P Workshops 2022 

Ben Nassi, Jacob Shams, Raz Ben-Netanel, Yuval Elovici

[conference-version]

Optical Speech Recovery From Desktop Speakers

IEEE Computer

Ben Nassi, Yaron Pirutin, Jacob Shams, Raz Swissa, Yuval Elovici, Boris Zadov

[Magazine]

Seeds Don't Lie: An Adaptive Watermarking Framework for Computer Vision Models

Jacob Shams, Ben Nassi, Ikuya Morikawa, Toshiya Shimizu, Asaf Shabtai, Yuval Elovici

[pre-print]

2021

Glowworm Attack: Optical TEMPEST Sound Recovery via a Device’s Power
Indicator LED

CCS'21, HITB+CyberWeek'21

Ben Nassi, Yaron Pirotin, Yuval Elovici, Boris Zadov 

[web-page] [pre-print] [conference-version]

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SoK - Security and Privacy in the Age of Drones

SP'21

Ben Nassi, Asaf Shabtai, Ryusuke Masuoka, Yuval Elovici. 

[web-page] [pre-print] [conference-version]

Detecting Spying Drones

SP Magazine

Raz Ben-Netanel, Ben Nassi, Adi Shamir, Yuval Elovici. 

[web-page] [magazine]

Spoofing Mobileye 630’s Video Camera Using a Projector

AutoSec'21

Ben Nassi, Dudi Nassi, Raz Ben Netanel and Yuval Elovici

[web-page] [conference]

Game of Drones - Detecting Spying Drones Using Time Domain Analysis

CSCML'21

Raz Ben-Netanel, Ben Nassi, Adi Shamir, Yuval Elovici

[web-page] [magazine]

2020

Phantom of the ADAS - Securing Advanced Driver-Assistance Systems from
Split-Second Phantom Attacks

CCS'20,  RSAC 2021, SecTor'21, Car Hacking Village @ DEFCON'29, CyberTech'20

Ben Nassi, Dudi Nassi, Raz Ben-Netanel, Yisroel Morsky, Oleg Drokin, Yuval Elovici.

AutoSec'21 Best Demo Award Winner

CSAW'20 Runner Up

[web-page] [pre-print] [conference-version]

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2019

Drones’ Cryptanalysis - Smashing Cryptography with a Flicker

SP'19, RSAC APJ'19, SecTor'21

Ben Nassi, Raz Ben-Netanel, Adi Shamir, Yuval Elovici. 

CSAW'19 Runner Up

[web-page] [pre-print] [conference-version]

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Xerox Day Vulnerability 

TIFS'19, RSAC'20

Ben Nassi, Adi Shamir, Yuval Elovici.

[web-page] [pre-print] [journal-version]

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Piping botnet-turning green technology into a water disaster

IoT Village @ DEFCON'26

Ben Nassi, Moshe Sror, Ido Lavi, Yair Meidan, Asaf Shabtai, Yuval Elovici

[web-page] [pre-print]

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Talks

Talks & Seminars

2025

DEFCON'33. Invitation is All You Need!

BHUSA'25. Invitation is All You Need!

Seminar @ Stanford University. From Prompt Injection to Promptware.

AI Agent Security Summit.  From Prompt Injection to Promptware 

Seminar @ Tel Aviv University  From Prompt Injection to Promptware 

2024

RWC'24.  Extracting Secret Keys from a Device’s Power LED using COTS Video Cameras.

Seminar @ MIT.  Extracting Secret Keys from a Device’s Power LED using COTS Video Cameras. 

Seminar @ Boston University.  Extracting Secret Keys from a Device’s Power LED using COTS Video Cameras.

Seminar @ Northeastern University.  Extracting Secret Keys from a Device’s Power LED using COTS Video Cameras. 

2023

BHEU'23. Indirect Prompt Injection into LLMs using Images and Sounds

SecTor'23. Video-Based Cryptanalysis: Recovering Cryptographic Keys from Non-compromised Devices Using Video Footage of a Device’s Power LED. 

DEFCON'31. Video-Based Cryptanalysis: Recovering Cryptographic Keys from Non-compromised Devices Using Video Footage of a Device’s Power LED 

BHUSA'23. Video-Based Cryptanalysis: Recovering Cryptographic Keys from Non-compromised Devices Using Video Footage of a Device’s Power LED. 

Seminar @ Stanford University. Video-Based Cryptanalysis: Recovering Cryptographic Keys from Non-compromised Devices Using Video Footage of a Device’s Power LED

Seminar @ CISPA. Video-Based Cryptanalysis: Recovering Cryptographic Keys from Non-compromised Devices Using Video Footage of a Device’s Power LED

Seminar @ Columbia University. When Optical Sensors Meet Low-Power Devices:
Recovering Speech and Cryptographic Keys from Light Emitted from Power LEDs and Light Bulbs.

Seminar @ HUJI. When Optical Sensors Meet Low-Power Devices: Recovering Speech and Cryptographic Keys from Light Emitted from Power LEDs and Light Bulbs.

Seminar @ TAU. When Optical Sensors Meet Low-Power Devices: Recovering Speech and Cryptographic Keys from Light Emitted from Power LEDs and Light Bulbs.

CyberWeek'23. Security and Safety in the Era of Autonomous Cars. 

2022

Seminar @ CE Club, Technion. Finding Darkness in the Light: Recovering Speech and Cryptographic Keys from Light Emitted from Power LEDs and Light Bulbs.

BHASIA'22. The Little Seal Bug: Optical Sound Recovery from Lightweight Reflective Objects.

Seminar @ Michigan State University. Towards Electro-optical Sound Eavesdropping

Seminar @ Cornell Tech. Towards Electro-optical Sound Eavesdropping

AI Week'22. Remote Split-second Phantom Attacks on AI of Semi & full Autonomous Cars. 

2021

HITB+CyberWeek 21. Towards Eletro-Optical Sound Eavesdropping.

SecTor'21. Detecting Illicit Drone Filming.

SecTor'21. Ghost Misdetection Attacks Against Tesla Model X & Mobileye 630 PRO.

Car Hacking Village @ DEFCON 29. Remote Adversarial Phantom Attacks on Tesla & Mobileye.

RSAC'21. Securing Tesla & Mobileye from Split-Second Phantom Attacks

BHASIA'21. The Motion Sensor Western: The Good, the Bad, and the Ugly.

2020

CodeBlue'20. Drones Cryptanalysis: Detecting Spying Drones.

CodeBlue'20. Lamphone: Real-Time Passive Sound Recovery from Vibration of a Hanging Light Bulb.

SecTor'20. Lamphone: Real-Time Passive Sound Recovery from Vibration of a Hanging Light Bulb.

BHUSA'20. Lamphone: Real-Time Passive Sound Recovery from Vibration of a Hanging Light Bulb.

CyberTech TLV'20. Phantom of the ADAS

RSAC'20. Air-Gapping Is Overrated: Pressing a Red-Button via a Multifunction Printer.

2019

IoT Village @ DEFCON'26. Attacking Smart Irrigation Systems.

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