2 citations · 2 across the 8 of their papers we have counts for
10 papers
SimpleMark: Fast Multi-Bit Text Watermarking under f -Divergence Constraints
Benjamin D. Kim, Wanrong Zhang, Weitong Ruan +2
We introduce a framework for multi-bit text watermarking with security defined directly through -divergence from the base language model distribution. Unlike prior approaches th…
Optimal Guarantees for Auditing Rényi Differentially Private Machine Learning
Benjamin D. Kim, Lav R. Varshney, Daniel Alabi
We study black-box auditing for machine learning algorithms that claim R \ 'enyi differential privacy (RDP) guarantees. We introduce an auditing framework, based on hypothesis test…
Revisiting the Interface between Error and Erasure Correction in Wireless Standards
Vipindev Adat Vasudevan, Homa Esfahanizadeh, Benjamin D. Kim +3
Modern 5G communication systems implement a combination of error correction and feedback-based erasure correction (HARQ/ARQ) as reliability mechanisms, which can introduce substant…
Scalable Multiterminal Key Agreement via Error-Correcting Codes
Benjamin D. Kim, Daniel Alabi, Lav R. Varshney
We explore connections between secret sharing and secret key agreement, which yield a simple and scalable multiterminal key agreement protocol. In our construction, we use error-co…
Robust DDoS-Attack Classification with 3D CNNs Against Adversarial Methods
Landon Bragg, Nathan Dorsey, Josh Prior +4
Distributed Denial-of-Service (DDoS) attacks remain a serious threat to online infrastructure, often bypassing detection by altering traffic in subtle ways. We present a method usi…
An Efficient Hybrid Key Exchange Mechanism
Benjamin D. Kim, Vipindev Adat Vasudevan, Alejandro Cohen +3
We present \textsc{CHOKE}, a novel code-based hybrid key-encapsulation mechanism (KEM) designed to securely and efficiently transmit multiple session keys simultaneously. By encodi…
Cryptanalysis via Machine Learning Based Information Theoretic Metrics
Benjamin D. Kim, Vipindev Adat Vasudevan, Rafael G. L. D'Oliveira +3
The fields of machine learning (ML) and cryptanalysis share an interestingly common objective of creating a function, based on a given set of inputs and outputs. However, the appro…
Leveraging AES Padding: dBs for Nothing and FEC for Free in IoT Systems
Jongchan Woo, Vipindev Adat Vasudevan, Benjamin D. Kim +5
The Internet of Things (IoT) represents a significant advancement in digital technology, with its rapidly growing network of interconnected devices. This expansion, however, brings…
On the Benefits of Coding for Network Slicing
Homa Esfahanizadeh, Vipindev Adat Vasudevan, Benjamin D. Kim +4
Network slicing has emerged as an integral concept in 5G, aiming to partition the physical network infrastructure into isolated slices, customized for specific applications. We the…
CRYPTO-MINE: Cryptanalysis via Mutual Information Neural Estimation
Benjamin D. Kim, Vipindev Adat Vasudevan, Jongchan Woo +4
The use of Mutual Information (MI) as a measure to evaluate the efficiency of cryptosystems has an extensive history. However, estimating MI between unknown random variables in a h…