Publications associées à Single-pass Detection of Jailbreaking Input in Large Language Models

Publications associées (12)

Towards URLLC with Open-Source 5G Software

Haitham Al Hassanieh, Aoyu Gong, Dan Mihai Dumitriu, Arman Maghsoudnia, Raphael Cannatà

Ultra-Reliable Low-Latency Communication is a key feature of 5G, yet achieving its strict one-way latency target remains challenging in real-world deployments. While previous work proposes latency reduction techniques, most are theoretical or simulation-ba ...

Association for Computing Machinery2025

Course Recommender Systems Need to Consider the Job Market

Anna Dai, Tanja Christina Käser Jacober, Antoine Bosselut, Jibril Albachir Frej, Syrielle Mathilde Marie Montariol

Current course recommender systems primarily leverage learner-course interactions, course content, learner preferences, and supplementary course details like instructor, institution, ratings, and reviews, to make their recommendation. However, these system ...

Association for Computing Machinery, Inc2024

Practical Verification of System-Software Components Written in Standard C

Yonghao Zou, George Candea, Clément Pit-Claudel, Diyu Zhou, Can Cebeci

Systems code is challenging to verify, because it uses constructs (like raw pointers, pointer arithmetic, and bit twiddling) that are hard for tools to reason about. Existing approaches either sacrifice programmer friendliness, by demanding significant man ...

Association for Computing Machinery, Inc2024

Seismo-VLAB: An Open-Source Software for Soil-Structure Interaction Analyses

Antonio Joaquin Garcia Suarez

In the fields of structural and geotechnical engineering, improving the understanding of soil-structure interaction (SSI) effects is critical for earthquake-resistant design. Engineers and practitioners often resort to finite element (FE) software to advan ...

2023

The Side-channel Metrics Cheat Sheet

Francesco Regazzoni, Mirjana Stojilovic, Ognjen Glamocanin

Side-channel attacks exploit a physical observable originating from a cryptographic device in order to extract its secrets. Many practically relevant advances in the field of side-channel analysis relate to security evaluations of cryptographic functions a ...

2023

Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region

Danya Li

Crop maps are crucial for agricultural monitoring and food management and can additionally support domain-specific applications, such as setting cold supply chain infrastructure in developing countries. Machine learning (ML) models, combined with freely-av ...

Elsevier2023

The Societal and Scientific Importance of Inclusivity, Diversity, and Equity in Machine Learning for Chemistry

Daniel Probst

While the introduction of practical deep learning has driven progress across scientific fields, recent research highlighted that the requirement of deep learning for ever-increasing computational resources and data has potential negative impacts on the sci ...

2023

Visual Scene Understanding for Transportation: From Detecting Objects To Relationships

George Adaimi

Transportation, which deals with moving people and goods around, has a clear impact on the economic development of our society and our well-being. Traditionally, transportation was studied and analyzed using expensive sensors, such as induction loops, that ...

EPFL2022

Benchmark for Human-to-Robot Handovers of Unseen Containers with Unknown Filling

Pascal Frossard, Aude Billard, Andrea Cavallaro, Apostolos Modas, Nuno Ricardo Ferreira Duarte, Konstantinos Chatzilygeroudis

The real-time estimation through vision of the physical properties of objects manipulated by humans is important to inform the control of robots for performing accurate and safe grasps of objects handed over by humans. However, estimating the 3D pose and d ...

2020

A low-cost, autonomous mobile platform for limnological investigations, supported by high-resolution mesoscale airborne imagery

David Andrew Barry, Ulrich Lemmin, Anton Ivanov, Htet Kyi Wynn, Stepan Tulyakov, Abolfazl Irani Rahaghi, Ludovic Zulliger, Jean-Luc Liardon, Philippe Olivier Paccaud, Beat Marcel Geissmann

Two complementary measurement systems – built upon an autonomous floating craft and a tethered balloon – for lake research and monitoring are presented. The autonomous vehicle was assembled on a catamaran for stability, and is capable of handling a variety ...

2019

[Re] Meta learning with differentiable closed-form solvers

Matthias Grossglauser, Arnout Jan J Devos, Sylvain Chatel

In this work, we present a reproduction of the paper of Bertinetto et al. ”Meta- learning with differentiable closed-form solvers” as part of the ICLR 2019 Reproducibility Challenge. In successfully reproducing the most crucial part of the paper, we reach ...

2019

Detecting Slipping-Like Perturbations by Using Adaptive Oscillators

Silvestro Micera

This study introduces a novel algorithm to detect unexpected slipping-like perturbations based on the comparison between actual leg joint angles and those predicted by a pool of adaptive oscillators. The approach grounds on the hypothesis that during postu ...

Springer2015