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33326 Posts
Probabilistic Scores of Classifiers, Calibration is not Enough

Probabilistic Scores of Classifiers, Calibration is not Enough

arXiv:2408.03421v1 Announce Type: new Abstract: In binary classification tasks, accurate representation of probabilistic predictions is essential for various real-world applications such as predicting payment defaults or assessing medical risks. The model must then be well-calibrated to ensure alignment between predicted probabilities and actual outcomes. However, when score heterogeneity deviates from the underlying data probability distribution, traditional calibration metrics lose reliability, failing to align score distribution with actual probabilities. In this study, we highlight approaches that prioritize optimizing the alignment between predicted scores and true probability distributions over minimizing traditional performance or calibration metrics. When employing tree-based models such as Random…
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e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation

e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation

arXiv:2408.03500v1 Announce Type: new Abstract: The Shared Task on Large-Scale Radiology Report Generation (RRG24) aims to expedite the development of assistive systems for interpreting and reporting on chest X-ray (CXR) images. This task challenges participants to develop models that generate the findings and impression sections of radiology reports from CXRs from a patient's study, using five different datasets. This paper outlines the e-Health CSIRO team's approach, which achieved multiple first-place finishes in RRG24. The core novelty of our approach lies in the addition of entropy regularisation to self-critical sequence training, to maintain a higher entropy in the token distribution. This…
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Google and Meta reportedly teamed up for ads targeting young teens

Google and Meta reportedly teamed up for ads targeting young teens

Google worked with Meta to roll out ads that targeted young teens even if it's against the former's rules, according to the Financial Times. Based on the documents seen by the publication, Google worked on a marketing project designed to advertise Instagram to YouTube users within the 13- to 17-year-old age range. Google had blocked age-based ad targeting for users under 18 years ago, but the company reportedly found and used a loophole.Since they couldn't go for the demographic they wanted to reach, they instead targeted a group of users Google had labeled as "unknown." Google's staff proposed the group…
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Read the pitch decks from media and entertainment startups that have raised millions to disrupt Hollywood

Read the pitch decks from media and entertainment startups that have raised millions to disrupt Hollywood

Tech is disrupting all areas of media and entertainment, and investors are rushing to cash in. Startups are attracting millions in investments to change how content is made, distributed, and more. Here are 24 pitch decks that startups used to fundraise for pre-seed and Series A rounds and beyond. Thanks for signing up! Access your favorite topics in a personalized feed while you're on the go. download the app By clicking “Sign Up”, you accept our Terms of Service and Privacy Policy. You can opt-out at any time by visiting our Preferences page or by clicking "unsubscribe" at the bottom…
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Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection

Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection

arXiv:2408.03554v1 Announce Type: new Abstract: We explore visual prompt injection (VPI) that maliciously exploits the ability of large vision-language models (LVLMs) to follow instructions drawn onto the input image. We propose a new VPI method, "goal hijacking via visual prompt injection" (GHVPI), that swaps the execution task of LVLMs from an original task to an alternative task designated by an attacker. The quantitative analysis indicates that GPT-4V is vulnerable to the GHVPI and demonstrates a notable attack success rate of 15.8%, which is an unignorable security risk. Our analysis also shows that successful GHVPI requires high character recognition capability and…
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Move Over, LLMs. Small AI Models Are the Next Big Thing

Move Over, LLMs. Small AI Models Are the Next Big Thing

For years, tech giants like Google and startups such as OpenAI have been racing to build ever bigger and costlier artificial intelligence models using a tremendous amount of online data. Deployed in chatbots like ChatGPT, this technology can handle a wide range of complex queries, from writing code and planning trips to drafting Shakespearean sonnets about ice cream.Mark McQuade is betting on a different strategy. Arcee.AI, the startup he co-founded last year, helps companies train and roll out an increasingly popular — and much tinier — approach to AI: small language models. Rather than try to do everything ChatGPT can,…
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Secure Your AI Project With Model Attestation and Software Bill of Materials (SBOMs)

Secure Your AI Project With Model Attestation and Software Bill of Materials (SBOMs)

AI projects face security challenges that stem from the difficulties in ensuring model integrity and reliability. The Sleepy Pickle and HuggingFace models' silent backdoors are notable cases of such model security loopholes. They are evidence of the possibility of influencing an AI model's behavior directly or indirectly through malicious or authorized model modifications, manipulations, and adversarial attacks. These model breaches stem from the blind spots that exist during the development and post-development of AI projects. This lack of visibility leaves AI models and data vulnerable to these security compromises. A recent survey by the Linux Foundation advocates adopting transparent and…
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Page not found | Datafloq

Page not found | Datafloq

Crypto and Mental Health: The Psyc Since the introduction of Bitcoin and the bewildering variety of other coins, the cryptocurrency market has captivated the attention of individuals worldwide akin to a digital gold rush. Cryptocurrency has quickly gone from being a niche concept to a significant worldwide phenomenon. What was formerly the domain of tech-savvy enthusiasts has become a common topic.  However, there is a complicated emotional dance hidden beneath the appeal of instant wealth and financial independence. The wild ride that is bitcoin prices can be both an exciting and dangerous one full of psychological difficulties. This piece explores…
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A cheap Ukrainian drone managed to take out an $18 million Russian military helicopter: reports

A cheap Ukrainian drone managed to take out an $18 million Russian military helicopter: reports

Ukraine's military took out a Russian Mi-28 military helicopter using a cheap remote-controlled aerial drone, according to reports.Sources from Ukraine's SBU intelligence agency told Ukrainian outlets Suspline and the Kyiv Post that Ukrainian special forces used a first-person view (FPV) remotely-guided drone to take down the helicopter in Kursk Oblast in Russia.This is where Russia's defense ministry said Ukrainian forces had this week launched a rare cross-border attack.Russia said a state of emergency had been declared in Kursk following Tuesday's cross-border raid. It said the raid involved 1,000 Ukrainian troops, 11 tanks, and more than 20 armored combat vehicles.Footage published by…
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